diff --git "a/data/pages.json" "b/data/pages.json" new file mode 100644--- /dev/null +++ "b/data/pages.json" @@ -0,0 +1,5329 @@ +{ + "pages": [ + { + "url": "https://academy.towardsai.net/", + "host": "academy.towardsai.net", + "path": "/", + "kind": "page", + "title": "Towards AI Academy", + "meta_description": "", + "headings": [ + "Towards AI Academy", + "Build a Career in AI Engineering", + "Industry Leaders on Our Resources", + "The AI Industry Has a People Problem", + "Foundation Models Are Just the Starting Point", + "The Skill Gap Is Widening Every Quarter", + "Enterprises Want AI. Engineers Are the Bottleneck.", + "Ready to Be Part of the Solution?", + "You're in the Right Place If:", + "Hear From Our Alumni", + "The most comprehensive LLM / AI engineering course out there", + "An Exceptional End-to-End LLM Engineering Course", + "Recommend this course and perfect launchpad for diving into LLM App Development", + "A Practical, Production-Grade Guide to Agentic Engineering", + "Practical step by step guide develop and deploy LLM products", + "Great AI Course for both Beginners and Experts!", + "Must Have course to learn Agentic AI Engineering", + "Best Resource on Agentic AI", + "Practical, Comprehensive, and Inspiring AI Learning Journey", + "Production-Grade Agentic AI Starts Here", + "Excellent Course for Serious Students", + "Fantastic course for Software Developer/Engineering", + "Why Developers Choose Towards AI", + "Training Built for the Industry", + "Designed to Make Developers AI-First", + "Created for Working Professionals", + "AI Engineering Pathway", 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\u201cTowards AI has done a great job assembling all of the technical resources needed by a modern GenAI applied practitioner.\u201d Sander Schulhoff, Founder and CEO of Learn Prompting \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cLouis and the Towards AI team have created an essential resource for developers who want to expand their AI expertise and apply it to real-world challenges.\u201d Alex Volkov, AI Evangelist at Weights & Biases and Host of ThursdAI.news \u201cContains thorough explanations and code for you to start using and deploying LLMs, as well as optimizing their performance. Very highly recommended!\u201d Luis Serrano, PhD, Founder of Serrano.Academy and author of Grokking Machine Learning \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur \u201cAn indispensable guide for anyone venturing into the world of large language models...Covering everything from theory to practical deployment.\u201d Shashank Kalanithi, Data Engineer at Meta \u201cThis will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila The AI Industry Has a People Problem We're training the engineers it needs. Foundation Models Are Just the Starting Point Learn to engineer what goes on top Master prompting, RAG, fine-tuning, tool use, and agents, and build the scalable systems foundation models alone can't deliver. The Skill Gap Is Widening Every Quarter Build judgment that outlasts any framework Every program is built around production-grade projects, learn to handle failures, optimize at scale, and ship reliably, not just follow along in a notebook. Enterprises Want AI. Engineers Are the Bottleneck. Get trained in exactly what they're hiring for A deployed product, a certified portfolio, and the skills enterprises are hiring for are built into every course. Ready to Be Part of the Solution? Get the AI Training the Industry Needs You're in the Right Place If: You want to ship a production-grade LLM product, not just run a notebook. You want to be the AI engineer your company can't afford to lose. You want a project, a portfolio, and certification you can stand behind. You want to master LLMs, RAG, fine-tuning, and agents, end-to-end. You're building toward a role, a product, or an AI initiative worth leading. You're willing to put in the work that most developers won't. Hear From Our Alumni 5 star rating The most comprehensive LLM / AI engineering course out there Carlo Casorzo I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended Read Less 5 star rating An Exceptional End-to-End LLM Engineering Course Gino Sedano The Full Stack Engineering course by Towards AI is truly exceptional because it doesn\u2019t just teach you how to use LLMs\u2014it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessar... Read More The Full Stack Engineering course by Towards AI is truly exceptional because it doesn\u2019t just teach you how to use LLMs\u2014it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessary math, about how LLMs work and why they fail, and then guides you step by step through building a complete RAG AI Tutor, covering prompting, basic and advanced RAG, evaluation, fine-tuning, embeddings, data scraping and cleaning, model selection across open and closed ecosystems, cost, privacy, and optimization. Everything is taught in a hands-on, practical way, including lessons learned from approaches that didn\u2019t work and why, which closely mirrors real-world engineering. The course goes beyond notebooks: you finish by deploying your solution using FastAPI, Gradio, and Hugging Face Spaces, with clear guidance for production readiness. It also broadens your perspective with agents, frameworks like LangChain and LlamaIndex, observability, optimization, and a strong product and business mindset. It\u2019s demanding, well structured, and firmly grounded in real-world practice\u2014ideal if you want to move from experimenting with LLMs to building serious, production-ready solutions. Read Less 5 star rating Recommend this course and perfect launchpad for diving into LLM App Development Chaithanya Vamshi Sai The course does an amazing job of walking you through real-world LLM development, and I loved the flexibility of using open-source models. However, it would be even better if it provided more hands-on for fine-tuning and hosting those models on sm... Read More The course does an amazing job of walking you through real-world LLM development, and I loved the flexibility of using open-source models. However, it would be even better if it provided more hands-on for fine-tuning and hosting those models on smaller hardware (For example, UnSloth). All the theoretical concepts were covered in writing, but adding more video content or visual walkthroughs or infographics could make it more engaging and easier to follow, especially for learners like me who benefit from seeing things in action. Overall, I recommend this course to get started with building LLM apps. It covers all the key Gen AI concepts and considerations for AI developers to consider when developing real-world products. Read Less 5 star rating A Practical, Production-Grade Guide to Agentic Engineering Shekhar Tanwar This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workfl... Read More This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workflows feel industry-standard, making it especially valuable for engineers looking to ship reliable, scalable agentic systems. Read Less 5 star rating Practical step by step guide develop and deploy LLM products Srikanth phalgun Pyaraka I recently enrolled in this course, and I can confidently say it has exceeded my expectations! From the very first lesson, the clarity and organization of the material stood out. The instructors are not only experts in their field, but they also d... Read More I recently enrolled in this course, and I can confidently say it has exceeded my expectations! From the very first lesson, the clarity and organization of the material stood out. The instructors are not only experts in their field, but they also deliver the content in an engaging manner that makes learning enjoyable and impactful. The course structure strikes a perfect balance between theory and practical application, allowing me to grasp the concepts effectively. I have already seen a significant improvement in my skills and feel empowered to apply what I've learned in real-world situations. Additionally, the community is dynamic and incredibly supportive. The discussion forums and group activities create an environment where collaboration thrives, and everyone benefits from sharing ideas and experiences. I wholeheartedly recommend this course to anyone serious about advancing their knowledge and skills. It is undeniably a worthy investment! Read Less 5 star rating Great AI Course for both Beginners and Experts! Berit S\u00f8gaard This course is a game-changer for anyone looking to build and optimize LLMs. It provides a perfect balance of foundational concepts and advanced techniques, making it an invaluable resource for AI enthusiasts and professionals alike. This course is a game-changer for anyone looking to build and optimize LLMs. It provides a perfect balance of foundational concepts and advanced techniques, making it an invaluable resource for AI enthusiasts and professionals alike. Read Less 5 star rating Must Have course to learn Agentic AI Engineering Vinay Gupta This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. Read Less 5 star rating Best Resource on Agentic AI Hemkumar Poosala In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI ... Read More In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI Engineering by Louis Bouchard and Paul Lusztin i was amazed by the way the course has been designed it has in depth concepts and practical implementations which was wonderful, planning to implement these skills in my job . I throughly enjoyed learning this course and i would recommend anyone who is looking out for Agentic AI course this will help them in their career .Amazing work Louis and Paul kudous to you both.Thanks for giving the wonderful oppurtunity. Read Less 5 star rating Practical, Comprehensive, and Inspiring AI Learning Journey Gilberto Filho This course exceeded my expectations. It not only covered the fundamentals of AI engineering but also provided hands-on projects that made the learning process practical and engaging. The instructors explained complex concepts clearly, connecting ... Read More This course exceeded my expectations. It not only covered the fundamentals of AI engineering but also provided hands-on projects that made the learning process practical and engaging. The instructors explained complex concepts clearly, connecting theory with real-world applications. I particularly enjoyed how the course balanced breadth (full stack perspective) with depth (solid foundations in each layer). By the end, I felt equipped to build and deploy AI solutions confidently. Highly recommended for anyone who wants to go beyond surface-level AI knowledge and truly understand how to engineer end-to-end systems. Read Less 5 star rating Production-Grade Agentic AI Starts Here Sean Myers This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It\u2019s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything ... Read More This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It\u2019s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything from architecture patterns to evaluation and reliability. Read Less 5 star rating Excellent Course for Serious Students David Turner I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!! I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!! Read Less 5 star rating Fantastic course for Software Developer/Engineering Shiwang Singh As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the rig... Read More As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the right insights to get started with building a RAG system in a practical way. Thanks, Louis-Fran\u00e7ois, for the great course! Read Less Why Developers Choose Towards AI Training Built for the Industry Created by 15+ Senior AI Engineers Built from what we implement for enterprise clients, you graduate with a deployed product, a certified portfolio, and the production experience to back it up. Designed to Make Developers AI-First Training the engineers the AI economy needs Since 2019, our learners have moved into six-figure roles, launched startups, and led AI-first transformations, with a certified portfolio that proves what they can build. Created for Working Professionals Community, lifetime access, and ongoing support Self-paced with lifetime access, live kick-off calls, weekly updates, and an 80k+ Discord community, so you can learn on your schedule without ever falling behind. AI Engineering Pathway Whether you\u2019re new to coding, new to AI, or among the 10 million building with LLM APIs \u2014 this is your path to building and deploying production-grade AI systems that actually work. 1\ufe0f\u20e3 Master AI Engineering Best for Python developers ready to master the full AI stack. Taught by experts that do this for a living, our flagship, 60-hour, code heavy program covers every layer of modern AI engineering. With a central 60 lesson context engineering project - we span prompting, advanced RAG, fine-tuning, agents, full system design and more. Gain the skills to build and deploy production-grade LLM applications. With weekly updates this is the only course you'll ever need. Learn More Watch Intro Video Watch Intro Video 2\ufe0f\u20e3 Agent Engineering: Building Multi-Agent Systems Best for Python developers ready to build fully autonomous agents. This comprehensive, production-focused program covers the complete agent engineering stack. Through two capstone projects, a Research Agent and a Writing workflow, you'll master agentic design, reasoning loops, tool orchestration, evaluation, and deployment. Created in partnership with Paul Iusztin, this is the definitive course for production AI agent engineering. Learn More 3\ufe0f\u20e3 Fully Video LLM Primer Best for busy software professionals needing an LLM crash course. Learn how to understand, build, evaluate, automate, and maintain robust LLM systems, all without getting bogged down in theory. In five focused video sessions, you\u2019ll walk through when to use prompting, RAG, fine-tuning, or agents to build production-grade LLM applications. Learn More Watch Intro Video Watch Intro Video 4\ufe0f\u20e3 Beginner Python for AI Engineering Best for non-coders and python beginners starting with AI engineering. Learn the Python skills for building and integrating AI applications, focused on what matters for LLMs. Ideal for those who need Python skills before our AI Engineering course, so you can create, test, and deploy faster. Learn More 5\ufe0f\u20e3 Master AI for Productivity Best for professionals wanting to use AI models for high value tasks without coding. Discover how to integrate AI safely and effectively into your daily work to save time, improve output quality, and open new opportunities. You\u2019ll work through practical, real-world scenarios across research, communication, analysis, and automation, building skills that keep you relevant and ahead as industries evolve. Learn More Watch Intro Video Organizations We Have Worked With Ready to become an AI engineer? Begin Your Transition FAQ Do the courses come with a certification? Yes, all courses come with a certificate of completion from Towards AI. What are the prerequisites for the resources? Our full-stack and agentic engineering course requires Python understanding. If you are a complete beginner, you can start with our Python course. What makes Towards AI different? Every course is built directly from what our engineers implement for enterprise clients, so the curriculum reflects real production constraints, not theoretical best practices. You learn by building production-grade systems end-to-end, graduate with a deployed product and certified portfolio, and join a curriculum that updates every month as the field evolves. How can I apply what I learn in my career? The hands-on projects you complete during the course will help you build a portfolio that showcases your abilities to potential employers. Many of our learners have successfully transitioned into high-paying AI roles or launched innovative solutions in their careers. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. Does Towards AI offer an Affiliate Program or Referral Program? Yes. Towards AI offers an Affiliate Program and Referral Program, enabling you to earn up to 30% per sale and free access to our courses. Check the 'Affiliate' page linked in the header. Do I get additional support throughout my learning journey? Yes, you will get access to dedicated course channels in our Discord community, exclusive Slack access, and an AI Tutor chatbot. When are the courses last updated? All our courses are updated every two weeks with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course; you\u2019re getting a living resource designed to keep you ahead. NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/collections", + "host": "academy.towardsai.net", + "path": "/collections", + "kind": "collection", + "title": "All Products - Towards AI Academy", + "meta_description": "", + "headings": [ + "Towards AI Academy", + "Products", + "Full Stack AI Engineering", + "Agent Engineering: Building Multi-Agent Systems", + "10-Hours LLM Fundamentals (Video)", + "Beginner Python for AI Engineering", + "Towards AI Mentorship", + "Master AI for Work", + "Bundles", + "Get it all! 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Learn Context Engineering (Prompting, RAG, Data Collection), Fine-Tuning, Agents, Deployment and more! $349 All Courses, Become an AI Engineer Agent Engineering: Building Multi-Agent Systems Course \u2022 49 lessons 5.0 average rating (26 reviews) This course is for computer science students, ML engineers, and full-stack developers tasked with integrating autonomous features. You'll leave fully prepared to design, build, evaluate, and deploy sophisticated, production-grade AI agents. $499 All Courses, Become an AI Engineer 10-Hours LLM Fundamentals (Video) Course \u2022 13 lessons 5.0 average rating (7 reviews) Transform your ideas into AI-powered solutions. Master LLMs from prompts to deployment with essential skills and insights needed for production-ready applications. $199 All Courses, Become an AI Engineer Beginner Python for AI Engineering Course \u2022 38 lessons 5.0 average rating (4 reviews) (For everyone) A Python course for the LLM era! Build a foundation for developing your own LLM apps with Python, covering API integration, open-source model usage, fundamental training/testing skills, and more. $149 All Courses Towards AI Mentorship Bundle \u2022 1 learning product AI career support and production mentorship from the AI engineering team at Towards AI. Resume teardowns, async help on any AI-related topic, architecture reviews, and industry Q&A to land and succeed in AI roles. $99 / month All Courses, Become AI-First at Work Master AI for Work Course \u2022 98 lessons 5.0 average rating (2 reviews) (For anyone) who want to achieve AI productivity and capability benefits across real work tasks. For leaders and managers to bring AI into their company and team. Not satisfied after the first section? Get a 100% refund within 30 days. $399 1 2 Bundles Get your personalized offer at the best price! Get it all! From Novice to Expert Bundle \u2022 6 learning products (For everyone) It is a complete curriculum for ANYONE to learn Python, focusing on working with LLMs and becoming proficient in building with them (with our 10-hour video, business, AI engineering & agent engineering courses). $1,349 Purchase From Non-Coder to AI Engineer Bundle \u2022 4 learning products (For everyone) This bundle combines our Python introduction, 10-hour video and LLM developer courses to create a complete curriculum for ANYONE to learn Python based on working with LLMs and becoming proficient with LLMs leveraging Python. $599 From Developer to Advanced AI Engineer Bundle \u2022 4 learning products (For developers) to become an expert LLM developer. 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For leaders and managers to bring AI into their company and team. Not satisfied after the first section? Get a 100% refund within 30 days. $399 Bundles Get your personalized offer at the best price! Get it all! From Novice to Expert Bundle \u2022 6 learning products (For everyone) It is a complete curriculum for ANYONE to learn Python, focusing on working with LLMs and becoming proficient in building with them (with our 10-hour video, business, AI engineering & agent engineering courses). $1,349 Purchase From Non-Coder to AI Engineer Bundle \u2022 4 learning products (For everyone) This bundle combines our Python introduction, 10-hour video and LLM developer courses to create a complete curriculum for ANYONE to learn Python based on working with LLMs and becoming proficient with LLMs leveraging Python. $599 From Developer to Advanced AI Engineer Bundle \u2022 4 learning products (For developers) to become an expert LLM developer. Start with our 10-hour boot camp and follow up with our 60-hour beginner to advanced LLM Developer course for tons of insights, practice, guidance, and a valuable final project. $948 View more products Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev", + "host": "academy.towardsai.net", + "path": "/courses/beginner-to-advanced-llm-dev", + "kind": "course", + "title": "Build Real Products with LLMs, Context Engineering, RAG.", + "meta_description": "This course is for developers and engineers ready to take their careers to the next level by mastering AI and LLMs. With these skills, you can seamlessly transition into high-demand AI roles, drive innovation in your current job, or turn your product ideas into reality\u2014all within 60 hours of focused learning.", + "headings": [ + "Towards AI Academy", + "Become a Full Stack AI Engineer", + "Industry Leaders on the Course", + "The Gaps Between Developer and AI Engineer", + "Software Engineering \u2260 LLM Engineering", + "The Talent Gap Is Your Opportunity", + "Demos \u2260 Production Systems", + "Experience the Course Before You Commit", + "What You'll Build", + "RAG AI Tutor", + "Full LLM Toolkit", + "Your Own LLM Product", + "Build Your First LLM Product This Week", + "Hear From the Engineers Who Took the Leap", + "Love it", + "Excellent course", + "From Beginner to Advanced LLM Developer", + "Highly Recommend This Course", + "Understanding the basics of LLMs without math", + "great course", + "The most comprehensive LLM / AI engineering course out there", + "Exceptional course with in-depth resources", + "A must have book and training course for LLM Developers and Data Science Students", + "Truly practical from engineering perspective", + "Complete and practical", + "Who Is This Course For?", + "Course Curriculum", + "Course Introduction and Understanding LLMs (9 Lessons)", + "Part 1: Building our RAG AI Tutor - Using LLMs (11 Lessons)", + "Part 1: Building our RAG AI Tutor - RAG Basics (6 Lessons)", + "Part 1: Building our RAG AI Tutor - RAG with Llamaindex (7 Lessons)", + "Part 1: Building our RAG AI Tutor - Using other LLMs and Embedding Models (6 Lessons)", + "Part 1: Building our RAG AI Tutor - Collecting, Filtering and Cleaning Data (8 Lessons)", + "Part 1: Building our RAG AI Tutor - Advanced RAG (10 Lessons)", + "Part 1: Building our RAG AI Tutor - Fine-Tuning (6 Lessons)", + "Part 1: Building our RAG AI Tutor - Expanded RAG Toolkit (10 Lessons)", + "Part 1: Building our RAG AI Tutor - APIs, UI and Deployment (5 Lessons)", + "Part 2: Expanding Your Toolkit Beyond our AI Tutor - More LLM Capabilities and Useful AI Models (4 Lessons)", + "Part 2: More LLM Frameworks and Tools (9 Lessons)", + "Part 2: LLM Optimization (6 Lessons)", + "Part 3: LLM Ecosystem Economics; 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Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Become a Full Stack AI Engineer And position yourself for the roles, projects, and opportunities that AI is creating right now. Unlock Lifetime Access for $349 (join 1000+ AI engineers) Watch Intro Video Industry Leaders on the Course \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.\u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d -Pete Huang, Co-founder of The Neuron \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur.com & Author of Ace the Data Science Interview \u201cA comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[\u2026]\u201d Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta \u201cIt covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila The Gaps Between Developer and AI Engineer We close them with real projects, proven frameworks, and the exact skills companies are hiring for. Software Engineering \u2260 LLM Engineering Learn to engineer around probabilistic systems This course teaches you to design reliable systems on top of unpredictable models, using prompt engineering, context engineering, and RAG to control what the model knows, and fine-tuning to control how it behaves. The Talent Gap Is Your Opportunity Get trained in exactly what the role demands The AI engineering role is only 2-3 years old; the window to get in early is still open. Master the full stack: from choosing the right models and architectures to evaluating, optimizing, and deploying production-grade AI systems at scale. Demos \u2260 Production Systems Ship real, deployable LLM products Move beyond notebooks and build something that gives you a competitive edge in the job market, launches your startup idea, or drives a new product at your company. Experience the Course Before You Commit Explore the First 6 Lessons Free Unlock Free Preview What You'll Build A production-grade AI tutor and a complete LLM toolkit through hands-on capstone projects. RAG AI Tutor Build a fully deployed AI tutor from scratch across 60+ lessons. You'll implement: Prompt engineering: system prompts and iterative evaluation Data pipeline: scrape, parse, and clean data using Firecrawl, LlamaParse, and web APIs RAG pipeline: build from scratch then scale with LlamaIndex and vector databases Advanced retrieval: hybrid search, re-ranking, metadata filtering, and query augmentation Fine-tuning: optimize GPT-4o Mini and embedding models for your use case Production deployment: FastAPI, Gradio UI, and Hugging Face Spaces Full LLM Toolkit Expand beyond the AI tutor with the broader skills the role demands. You'll implement: Agent architecture: tool use, LLM pipelines, and autonomous task execution Framework fluency: LangChain, LlamaIndex, and OpenAI Assistants side by side Multi-modal capabilities: image generation, speech, and diffusion models Observability: production tracing with Langsmith, Phoenix, and Langfuse LLM optimization: quantization, pruning, distillation, and speculative decoding Your Own LLM Product Apply everything to build and ship your own LLM application. You'll implement: Product strategy: 175 project ideas, niche selection, and defensibility frameworks Business context: learn from real products like Perplexity, Harvey AI, and Consensus Custom RAG application: your own idea, fully built and deployed on Hugging Face Certified delivery: reviewed by our team and portfolio-ready for jobs, MVPs, or pitches Incubation opportunity: standout projects get direct support to find work or launch Build Your First LLM Product This Week \udb40\udc6f\u2022\udb40\udc4f A fully deployed LLM application, production-ready \udb40\udc6f\u2022\udb40\udc4f Gain portfolio-ready skills with certification \udb40\udc6f\u2022\udb40\udc4f Master fundamentals that outlast trends Self-paced learning \u2022 Regular updates \u2022 Risk-free enrollment Enroll Now Hear From the Engineers Who Took the Leap 5 star rating Love it Paul Iusztin If you are interested in AI Engineering, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills. Also, ... Read More If you are interested in AI Engineering, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills. Also, love their approach to teaching engineering, where instead of many small projects, they walk you through a larger project, from end-to-end, reflecting what you actually encounter within the industry. Read Less 5 star rating Excellent course Martin Ballard The course covers an immense amount of information. I feel like I really learned a ton about working with LLMs and how to develop and deploy my own applications. The course covers an immense amount of information. I feel like I really learned a ton about working with LLMs and how to develop and deploy my own applications. Read Less 5 star rating From Beginner to Advanced LLM Developer Boonchiat Tan \"This course is fantastic! The content is well-curated, making it easier to learn the techniques quickly. Great job! Thanks again!\" \"This course is fantastic! The content is well-curated, making it easier to learn the techniques quickly. Great job! Thanks again!\" Read Less 5 star rating Highly Recommend This Course Farhad Dalirani This course is highly valuable. You can learn a lot about different critical aspects of LLMs and RAG. Before taking it, I used to wander through endless resources, most of which were, in fact, low quality. The course is fantastic, and I highly rec... Read More This course is highly valuable. You can learn a lot about different critical aspects of LLMs and RAG. Before taking it, I used to wander through endless resources, most of which were, in fact, low quality. The course is fantastic, and I highly recommend it to everyone. One of the things I love about the course is that it\u2019s not just a series of video lectures; it includes many code notebooks with detailed explanations, allowing you to learn by coding and engaging, which is the best approach. In order to create a good generative AI app with LLMs, a person should be knowledgeable about various topics, such as effective prompting, choosing the right tools, data collection and curation, working with various modalities, vector databases, query engines, building RAG systems for different needs, creating agents with tools like internet search, understanding various cloud and API providers, working with local LLMs, evaluation methods, deploying efficiently using techniques like quantization and caching, among many other related topics. This course covers ALL of them. Moreover, the support of creators have been great, I noticed a few minor issues in the code examples, which were fixed when I pointed them out! Read Less 5 star rating Understanding the basics of LLMs without math Tiamiyu Hamzat To be honest, this course is completely different from other courses on LLM I have seen out there. This course is fully packed with lots of knowledge, advanced techniques and skills to build a successful LLM project. I am glad I did not hesitate t... Read More To be honest, this course is completely different from other courses on LLM I have seen out there. This course is fully packed with lots of knowledge, advanced techniques and skills to build a successful LLM project. I am glad I did not hesitate to purchase this course. Read Less 5 star rating great course Danny Vaks Read Less 5 star rating The most comprehensive LLM / AI engineering course out there Carlo Casorzo I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended Read Less 5 star rating Exceptional course with in-depth resources Vitor Ramos This course stands out for its exceptional structure and quality of references that truly deepen the learning experience. The materials are carefully curated and provide a comprehensive foundation that encourages further exploration of the topics ... Read More This course stands out for its exceptional structure and quality of references that truly deepen the learning experience. The materials are carefully curated and provide a comprehensive foundation that encourages further exploration of the topics covered. Each reference not only supports the lessons but also enriches understanding, making complex concepts accessible and engaging. The overall course design is well-organized, ensuring that learners can easily navigate through the content and achieve their learning goals. Highly recommended for anyone looking to expand their knowledge with quality resources. Read Less 5 star rating A must have book and training course for LLM Developers and Data Science Students Badshah Mukherjee I find the book and training videos a must-have for anyone interested in learning about LLMs and developing a career in them. I have recommended them to my students in Data Science and AI to accelerate their understanding and build MVPs. I find the book and training videos a must-have for anyone interested in learning about LLMs and developing a career in them. I have recommended them to my students in Data Science and AI to accelerate their understanding and build MVPs. Read Less 5 star rating Truly practical from engineering perspective Victor Palomares Great tutorial. It is building concepts from the ground up. From an engineering perspective going through the code and running the examples helps to grasp a deep understanding. I find this is very practical and equips you with the tooling to face ... Read More Great tutorial. It is building concepts from the ground up. From an engineering perspective going through the code and running the examples helps to grasp a deep understanding. I find this is very practical and equips you with the tooling to face real world use cases. Read Less 5 star rating Complete and practical Mikhail Rybalchenko I really enjoy the course. It's super comprehensive and strikes a good balance between theory and hands-on. It also way more affordable than many other options out there. What makes the course stand out is that it doesn't stop at the basics, it ac... Read More I really enjoy the course. It's super comprehensive and strikes a good balance between theory and hands-on. It also way more affordable than many other options out there. What makes the course stand out is that it doesn't stop at the basics, it actually goes into design, deployment and optimization. A great choice to master AI engineering. Read Less Who Is This Course For? This certification is for software developers, machine learning engineers, data scientists and AI students transitioning into AI engineering The Developer Going All-In on AI: Ready to make AI your primary skill set. Build a portfolio, earn certification, and walk into high-demand LLM and AI engineering roles with proof you can deliver. The Engineer Leading AI at Their Company: You see AI transforming your industry. Gain the hands-on experience to lead initiatives, deploy real solutions, and drive innovation from the inside. The Developer With a Product Idea: You have an idea and the technical chops to build it. Turn it into a deployed, production-grade LLM application, all within 50+ hours of focused learning. Course Curriculum Course Introduction and Understanding LLMs (9 Lessons) From Beginner to Advanced LLM Developer | The Towards AI Academy FREE PREVIEW Course Introduction and Logistics FREE PREVIEW Syllabus In-Depth FREE PREVIEW How to use LLMs via API FREE PREVIEW An LLM Developer\u2019s Role is to Address AI\u2019s Weaknesses and Increase its Capabilities FREE PREVIEW Why Prompt Engineering, RAG, Tools, and Fine-tuning? FREE PREVIEW Understanding AI and Large Language Models without Math or Code Alien Intelligence Leads to Unintuitive Mistakes Course Tools Guide Part 1: Building our RAG AI Tutor - Using LLMs (11 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Introduction to Using LLMs To use a LLM or to not use it? Choosing your LLM Part 1: Open vs Closed Source and Key Comparison Metrics Choosing your LLM Part 2: Key Benchmarks and Leaderboards Choosing your LLM Part 3: The Leading Open and Closed LLMs Today What is Prompting? Talking with AI Models... Prompting 101 What is Prompt Injection? Can you Hack a Prompt? Building our AI Tutor System Prompt. Introducing Prompt Injection and Hacking Evaluating and Iterating Prompts Quiz Part 1: Building our RAG AI Tutor - RAG Basics (6 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Using Basic RAG for Our Project What is RAG? RAG 101 Building your Knowledge Base for RAG Building a basic RAG pipeline from scratch Build an OpenAI GPT with our AI blog data Quiz Part 1: Building our RAG AI Tutor - RAG with Llamaindex (7 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Developing a RAG AI Tutor With LLamaIndex Basic RAG with LlamaIndex How vector DBs work and when to use one Using a Vector Database Improving Data Sources and Prompts RAG Evaluations Evaluating your RAG Pipeline Quiz Part 1: Building our RAG AI Tutor - Using other LLMs and Embedding Models (6 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Using Other LLMs and Embedding Models Security, Privacy & Cost; Comparing 5 key ways to access LLMs Using Llama 3.1 70B on Together.ai and comparing RAG performance Ollama Tutorial: Running Deepseek Distill Locally Multimodal LLMs and Their Role in RAG Pipelines How to Select the Right Embedding Model for Your Use Case? Quiz Part 1: Building our RAG AI Tutor - Collecting, Filtering and Cleaning Data (8 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Collecting, Filtering, and Cleaning Data for RAG and LLM Pipelines Scraping Data from Websites Scraping via API with Firecrawl Perplexity Web API Web Search API Structuring Your Data: OpenAI Structured JSON Outputs Parsing Data with LlamaParse Choosing Data Sources and Building our AI Tutor Dataset Quiz Part 1: Building our RAG AI Tutor - Advanced RAG (10 Lessons) Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data! Larger Context Window; More Chunks LLM as a judge; Ranking Chunks Search with Metadata Filtering Advanced Search Techniques: From Keywords to Graphs Hybrid search Query Variation and Augmentation Re-Ranking What is Indexing? Indexing Methods for Vector Retrieval Advanced Retrieval Quiz Part 1: Building our RAG AI Tutor - Fine-Tuning (6 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Fine-Tuning Optimizing the model - inference and fine-tuning Fine-tuning 101 GPT4o-Mini Fine Tuning in our project Is fine-tuning an embedding model worth? When should you do it? Why? What is it? Fine-Tuning Embedding Models with LlamaIndex Quiz Part 1: Building our RAG AI Tutor - Expanded RAG Toolkit (10 Lessons) Part 1: Section Overview: Building Our RAG AI Tutor; Expanded RAG Toolkit Non-Technical Skills for Effective LLM Development Adding Question Validation and Routing An Introduction to Reasoning Language Models Reinforcement Fine-Tuning for OpenAI Enabling Conversational Memory in LLMs Adding Speech with GPT-4o Audio Long Context LLMs vs. RAG Long Context LLMs & Context Caching vs RAG Graph ML and GraphRAG Quiz Part 1: Building our RAG AI Tutor - APIs, UI and Deployment (5 Lessons) Part 1: Section Overview: Building and Deploying the Final RAG Chatbot Bringing it all together: Building the final AI Tutor How to make an API? Building and Deploying a Gradio UI on Hugging Face Spaces Quick Tips for Improving LLM Apps Once in Production Quiz Part 2: Expanding Your Toolkit Beyond our AI Tutor - More LLM Capabilities and Useful AI Models (4 Lessons) Part 2 Intro; Introducing more tools, models & frameworks for LLM projects Part 2: Section Overview: More LLM Capabilities & Other Useful AI Models Image Generation (Diffusion) and Speech models Generating and Editing Images via the OpenAI API LLM Agents: LLM Pipelines and Tool Use for Complex Tasks Quiz Part 2: More LLM Frameworks and Tools (9 Lessons) Part 2: Section Overview: More LLM Frameworks and Tools More LLM framework options; LangChain vs. LlamaIndex vs. OpenAI Assistants LangChain Introduction 101 Access More AI Models with Hugging Face\u2019s APIs Building Agents with OpenAI Assistants LangChain OpenGPT Extending LLM Capabilities with Anthropic's Model Context Protocol (MCP) Observability or tracing in production; Langsmith, Phoenix and Langfuse More APIs and tools Quiz Part 2: LLM Optimization (6 Lessons) Part 2: Section Overview: LLM Optimizations for Deployment Best tips for Pruning and Distillation (Minitron Paper) Model Distillation and Teacher-Student Models LLM Deployment Optimisation; Quantization, Pruning, Speculative Decoding Deploying a Quantized LLM on CPU on Google Cloud Platform (GCP) Deploying an LLM Using Latitude.sh Quiz Part 3: LLM Ecosystem Economics; Choose the Right Niche and Business Strategy for your LLM Pipeline (9 Lessons) Part 3 Intro (optional); Deciding which LLM RAG project to build yourself What will drive Enterprise adoption of Generative AI? Who are the Generative AI Winners? How will Adoption Reshape the Economy? Impact of Large Language Models on Different Job Categories 175 LLM Project ideas; Choosing your industry, niche, primary function and target users What Makes a Defensible Product Built with Foundation LLMs? AI LLM/RAG deep dive; Perplexity LLM/RAG deep dive; Consensus AI/LLM Deep dive; Harvey AI Quiz Part 4: Project + Extra tools Part 4; Building Your Own advanced LLM + RAG Project to receive certification Project Submission Share your success and showcase your new skills! AI Tutor - Ask any question! Staying Ahead of AI Developments Show more Course Highlights $1000 $349 92 Lessons Monthly Payment Plan Option Risk-Free Learning: 30-Day Money-Back Guarantee LLM development isn\u2019t for everyone. If you explore the early part of the course and feel it\u2019s not what you need, you can request a refund within 30 days. We\u2019d rather you invest your time where it matters most. Start Risk-Free How It Works Project-based learning designed for working professionals\u2014self-paced with live instructor support. Self-Paced + Live Introductory Cohort Calls: Learn on your schedule with lifetime access. Join introductory cohort calls with instructors and fellow course takers. Learn by Building: Hands-on projects from day one. Build a production LLM system from scratch, not toy examples or follow-along tutorials. Active Discord Community: Get unstuck fast. Connect with fellow builders, share progress, and collaborate on projects in an active engineering community. Certificate Upon Completion: Prove you built and deployed production AI. Graduate with certification backed by two real systems\u2014portfolio-ready proof you ship. Lifetime Access + Updates: All current content plus future updates as AI evolves. Your investment stays valuable. Money-Back Guarantee: 30-day full refund, no questions asked. Risk-free enrollment. Course Prerequisite To truly maximize the learning experience, a technical foundation is essential for this course due to the hands-on nature of the projects. Intermediate Python knowledge Basic knowledge of GitHub Necessary libraries for code implementations Compatible device to setup a coding environment At least 50 hours to gain the full benefit of the course Build Your First Scalable Product with LLMs, Prompting, RAG, Tool Use, and Fine-Tuning. $133/month for 3 months, or $349 one-time for the lowest total. Unlock Access for $349 Pay Monthly FAQ Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. What projects will I work on? You\u2019ll work on building your own AI tutor, create RAG pipelines, and build your advanced LLM MVP. Each project is designed to solve real-world problems, ensuring you gain practical, hands-on experience. What are the course prerequisites? Intermediate Python, basic GitHub knowledge, and a device you can set up a coding environment on. No prior AI or LLM experience needed. When was this course created? Is it still up to date? The course was originally launched in 2025, but we update it every single week with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course\u2014you\u2019re getting a living resource designed to keep you ahead. How is this course different from other AI courses? Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately. How does this course compare to your \"Agentic AI Engineering\" course? The Agents course is a deep dive into building production-grade autonomous systems. Full Stack AI Engineering is broader. You build a complete LLM product from data collection to RAG, fine-tuning, deployment, and business positioning, with agents as one component of the stack. If Agents is about mastering autonomy, Full Stack is about mastering the full AI product lifecycle. Do you have a referral or affiliate program? Yes. Towards AI offers an Affiliate Program and Referral Program, enabling you to earn money (up to $70 per course & $180 for a bundle) and free access to our courses by promoting our top courses and the \"Building LLMs for Production\" eBook. Check the 'Affiliate' page linked in the header. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Brought to you by NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/courses/agent-engineering", + "host": "academy.towardsai.net", + "path": "/courses/agent-engineering", + "kind": "course", + "title": "Production AI Agents Course: Learn Agent Engineering", + "meta_description": "Learn to design, build, evaluate, and deploy production-grade AI agents. Build two real systems: Research Agent and Writing Workflow with evaluation, observability, and deployment. Master ReAct loops, LangGraph, MCP servers, and the decision framework for agents vs workflows. 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A free 6-day email course. 3+ years of production experience distilled into actionable lessons. From Prompting Models to Engineering Agents Become an Agentic AI Engineer who designs production-ready systems and leave with an AI agent portfolio that proves it. Unlock Lifetime Access Watch Intro Video What Students Are Saying About Agentic AI Engineering 5 star rating Great value for agentic knowledge Victor Palomares This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! Read Less 5 star rating Very engaging course on Agentic AI Engineering Sai Deepak Namburu This course by far uses latest knowledge and tools to help learners acquire most of the thing on AI agents. Glad to be first learners. This course by far uses latest knowledge and tools to help learners acquire most of the thing on AI agents. Glad to be first learners. Read Less 5 star rating Production-Grade Agentic AI Starts Here Sean Myers This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It\u2019s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything ... Read More This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It\u2019s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything from architecture patterns to evaluation and reliability. Read Less 5 star rating Amazing Al Bundy The course is great with a lot of fantastic information, going into the details and make things hands on an practical. The main project is particularly interesting and can be used to build future applications. I strongly recommend to anybody who w... Read More The course is great with a lot of fantastic information, going into the details and make things hands on an practical. The main project is particularly interesting and can be used to build future applications. I strongly recommend to anybody who want to get serious with agentic ai!! Read Less 5 star rating Excellent course, highly recommended Cathal Curtin Excellent in depth handling of tradeoffs in evaluating and deploying agent based solutions. A useful mixture of theory and practice, learnt the hard way by expert practitioners. I've used a lot of the advice in building our enterprise practices to... Read More Excellent in depth handling of tradeoffs in evaluating and deploying agent based solutions. A useful mixture of theory and practice, learnt the hard way by expert practitioners. I've used a lot of the advice in building our enterprise practices to agent use in my organisation. Read Less 5 star rating Excellent course to strengthen fundamentals and best practices in Agentic AI Daniel Velasquez I am very satisfied with this course. It reinforces key Agentic AI concepts and helps consolidate best practices for designing and building agentic solutions in a more structured and professional way. The content is clear, practical, and well g... Read More I am very satisfied with this course. It reinforces key Agentic AI concepts and helps consolidate best practices for designing and building agentic solutions in a more structured and professional way. The content is clear, practical, and well grounded in real-world scenarios, which makes it easier to take ideas into production. It is especially valuable for those who already have experience in AI/ML and want to improve how they design agents, decision flows, and more robust architectures. I highly recommend it to anyone looking to deepen their understanding and elevate the quality of their agentic solutions. Read Less 5 star rating A comprehensive course! Indraneel Rao Towards ai agentic AI engineering course was a wonderful learning experience. Joined it because I used to follow Paul Lustin and was a big fan of his writing. And the course didnt disappoint. It covered everthing about building agent apps ground ... Read More Towards ai agentic AI engineering course was a wonderful learning experience. Joined it because I used to follow Paul Lustin and was a big fan of his writing. And the course didnt disappoint. It covered everthing about building agent apps ground up. Right from things like how to implement tool calling by hand, implementing ReAct loops, to skills that are neeeded for taking your app to production, like how to do evals and deploy to production using ci\\cd. Also both Paul and Louis-Francois were super responsive and helpful during the course for any questions or issues that we face. Highly recommended! Read Less 5 star rating Great course Ahmed Medhat Every AI Engineer needs course like that. Every AI Engineer needs course like that. Read Less 5 star rating AMAZING CONTENT Shadrack Darku This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course Read Less 5 star rating Hands-On, Industry-Centered, Production-Ready Course Abreham melese Booobnb The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. Read Less 5 star rating Amazing Course Nelson Pullella Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. adem\u00e1s se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluaci\u00f3n de los agentes, cosa q es muy ... Read More Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. adem\u00e1s se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluaci\u00f3n de los agentes, cosa q es muy importante. Read Less 5 star rating A blueprint for Agentic AI systems Ritesh Sinha Towards AI's \"Agentic AI Engineering\" course stands out as a comprehensive resource for moving beyond basics to building enterprise level production agentic systems. It is industry-focused, emphasizing real-world constraints and reliability. ... Read More Towards AI's \"Agentic AI Engineering\" course stands out as a comprehensive resource for moving beyond basics to building enterprise level production agentic systems. It is industry-focused, emphasizing real-world constraints and reliability. It has full spectrum of Agentic AI from core concepts and tooling all the way to monitoring, and evaluation. The course offers practical hands-on approach rather than just theory. this course provides the foundation and deep technical knowledge required to succedd in the world with AI Agents. Read Less To Agent or Not to Agent? Most developers get stuck in three places when building agents. We teach you to navigate all three. Agents Work Locally, Break in Production Build two production agents, fully deployed Build Research Agent and Writing Workflow with full evaluation systems, observability, and deployment pipelines . These are production templates you can adapt for market research, content & report generation, diagrams, documentation, or any domain where autonomous intelligence and automations with agentic patterns add value. Not Sure When Agents Are Worth It Master the decision framework Learn to design workflows that stay maintainable as requirements evolve. Master when to use deterministic routing versus agent autonomy , when to keep humans in the loop , and the patterns that scale from prototype to production . Skills Get Outdated Fast Build mental models, not framework knowledge We teach system design fundamentals from scratch, not just today's frameworks. Graduate with two deployable agents, certification , and the engineering judgment to architect any AI system, regardless of which tools are trending next. Learn the Discipline that Turns LLM Calls into Reliable Multi-Agent Systems Explore the First 7 Lessons Free Unlock Free Preview What You'll Build Two production agents and the complete engineering system through hands-on capstone projects. Research Agent Build an autonomous research system to synthesize structured research notes. You'll implement: Multi-source data collection \u2013 crawl websites, GitHub repositories, and YouTube videos ReAct reasoning loops \u2013 iterative research patterns Tool orchestration \u2013 integrate Firecrawl, gitingest, Gemini, and Perplexity via function calling Multi-round research cycles \u2013 automated query generation and refinement Human-in-the-loop feedback \u2013 user-approved query workflows Writing Workflow Transform research into publication-ready content with multi-modal outputs. You'll implement: Multi-modal generation \u2013 text, Mermaid diagrams, and images Chain-of-thought prompting \u2013 coherent long-form content generation Evaluator-optimizer patterns \u2013 automated quality control loops Orchestrator-worker architecture \u2013 context engineering for style control MCP-based editing tools \u2013 real-time collaboration with Cursor LangGraph workflows \u2013 production pipeline orchestration Agent Architecture Master the complete production stack for AI agents, from foundations to deployment. You'll implement: Durable workflows \u2013 LangGraph's functional API for stateful orchestration Custom evaluation frameworks \u2013 LLM judges and alignment scoring Opik monitoring \u2013 debugging and tracing non-deterministic behavior Production deployment \u2013 Docker, GCP, CI/CD pipelines MCP Authentication \u2013 Descope multi-tenant user integration Integration patterns \u2013 Custom agentic functionality on top of Cursor, Claude, or other harnesses Build Your First Agent This Week \udb40\udc6f\u2022\udb40\udc4f Stop calling LLMs. Start engineering agents. \udb40\udc6f\u2022\udb40\udc4f Own two agents, fully production-ready \udb40\udc6f\u2022\udb40\udc4f Gain portfolio-ready skills with certification \udb40\udc6f\u2022\udb40\udc4f Master fundamentals that outlast trends Self-paced learning \u2022 Regular updates \u2022 Risk-free enrollment Enroll Now 5 star rating Must Have course to learn Agentic AI Engineering Vinay Gupta This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. Read Less 5 star rating Complicated topic presented very well Mark Chase Agentic engineering is a very complicated topic. There are many moving parts in the process of creating an agent. This course not only teaches you these parts, but also how to select which parts you want to use. I liked how they presented not o... Read More Agentic engineering is a very complicated topic. There are many moving parts in the process of creating an agent. This course not only teaches you these parts, but also how to select which parts you want to use. I liked how they presented not only the reasons why to do something, but also any drawbacks of that option as well. You really get a clear understanding of the entire process. Read Less 5 star rating Practical Minimum Viable Learning Path abhijeet choudhari Theory and practical trade-off covered makes it complete. Diagram and code added to each further improved the clarity. Learning the book and this course should be good enough as foundation for anyone. Theory and practical trade-off covered makes it complete. Diagram and code added to each further improved the clarity. Learning the book and this course should be good enough as foundation for anyone. Read Less 5 star rating An excellent course on Agentic Engineering Luong Nguyen Dinh This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning... Read More This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning from mistakes. Thank the team for creating such a valuable course! Read Less 5 star rating A Practical, Production-Grade Guide to Agentic Engineering Shekhar Tanwar This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workfl... Read More This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workflows feel industry-standard, making it especially valuable for engineers looking to ship reliable, scalable agentic systems. Read Less 5 star rating Best Resource on Agentic AI Hemkumar Poosala In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI ... Read More In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI Engineering by Louis Bouchard and Paul Lusztin i was amazed by the way the course has been designed it has in depth concepts and practical implementations which was wonderful, planning to implement these skills in my job . I throughly enjoyed learning this course and i would recommend anyone who is looking out for Agentic AI course this will help them in their career .Amazing work Louis and Paul kudous to you both.Thanks for giving the wonderful oppurtunity. Read Less 4 star rating TLDR Foundations to Agent AI Eng Jose-Alberto Salazar-Jimenez The course gives the foundations necessary to understand what agent AI eng is about The course gives the foundations necessary to understand what agent AI eng is about Read Less Course Curriculum Part 1: Foundations of Agents and Workflows Lesson 0: Build a Research and Writing Agent with MCP FREE PREVIEW Lesson 1, Part 1: The AI Engineer & The Agent Landscape FREE PREVIEW Lesson 1, Part 2: Course Admin FREE PREVIEW Lesson 2: LLM Workflows vs. AI Agents -The AI Engineer's Dilemma FREE PREVIEW Lesson 3: Context Engineering FREE PREVIEW Lesson 4: Structured Outputs FREE PREVIEW Quick Quiz 1 FREE PREVIEW Lesson 5: LLM Workflow Patterns FREE PREVIEW Lesson 6: Tools FREE PREVIEW Lesson 7: Planning and Reasoning Quick Quiz 2 Lesson 8: ReAct Practice Lesson 9: RAG Focus Lesson 10: Memory for Agents Lesson 11: Multimodal Data Quick Quiz 3 Part 2A: Building Agentic Systems; Preparing to Build our Central Research Agent and Writing Workflow Lesson 12: Central Project: Scope & Design Lesson 13: Agent Frameworks Overview & Comparison Lesson 14: LLM Agent System Design Considerations and Framework Running the Agents Quick Quiz 4 Part 2B: Building Agentic Systems; Building our Central Research Agent Lesson 15: Nova End-to-End Project Walkthrough Lesson 16: Foundations of Agentic Systems with FastMCP Lesson 17: Initial Data Ingestion and Tooling Lesson 18: The Research Loop: Query Generation, Perplexity, and Human Feedback Lesson 19: Final Outputs and Agent Completion Quick Quiz 5 Part 2C: Building Agentic Systems; Building our Central Writing Workflow Lesson 20: Brown End-to-End Project Walkthrough Lesson 21: Behind the Scenes of Iterating AI Architectures with the Brown Writing Agent Lesson 22: Implementing the Foundations of the Writing Workflow Lesson 23: Reviewing and Editing Through the Evaluator-Optimizer Pattern Lesson 24: Human-in-the-Loop Through MCP Servers Lesson 25: Orchestrate and Integrate Our Capstone Agents Quick Quiz 6 Lesson 26: End-to-End Demo: Generating a Course Lesson Part 3: Evaluation, Observability, Optimizations, and Deployment Lesson 27: Agent Observability with Opik Lesson 28: Creating Datasets for AI Evals Lesson 29: Defining the Evaluation Processes and Metrics Theory Lesson 30: Evaluating the Writing Workflow Quick Quiz 7 Lesson 31: Continuous Integration for AI Engineering Lesson 32: Preparing For Deployment: Authentication and Docker Lesson 33: Preparing For Deployment: Database and File Download/Upload Lesson 34: Continuous Deployment for AI Engineering Quick Quiz 8 Part 4: Instructions for Students Capstone Project and Certification Part 4: Building Your Own MCP Server (To Receive Certification) Part 4: Project Submission Share your success and showcase your new skills! Extra tools AI Tutor - Ask any question! Show more About this course $499 5.0 (26 reviews) 35 Lessons Risk-Free Learning: 30-Day Money-Back Guarantee If you explore the early part of the course and feel it\u2019s not what you need, you can request a refund within 30 days by emailing us at [email protected] Start Risk-Free How It Works Self-paced project-based learning designed for working professionals. Self-Paced + Instructor Support: Learn on your schedule with lifetime access. Join dedicated Discord channels with instructors and fellow course takers. Learn by Building: Hands-on projects from day one. Build two production agents from scratch, not toy examples or follow-along tutorials. Active Discord Community: Get unstuck fast. Connect with fellow builders, share progress, and collaborate on projects in an active engineering community. Certificate Upon Completion: Prove you built and deployed production AI. Graduate with certification backed by two real systems and portfolio-ready proof you ship. Lifetime Access + Updates: All current content plus future updates as AI evolves. Your investment stays valuable. Money-Back Guarantee: 30-day full refund, no questions asked. Risk-free enrollment. Who This Course Is For For software engineers, data engineers, data scientists transitioning into AI Engineering Python: Comfortable with functions, classes, and API calls LLMs: Familiar with OpenAI/Claude APIs and basic prompting Docker & Cloud: Understand containerization and deployment basics Skill Level: Intermediate to advanced, expect a challenge Mindset: Learn by building, not watching tutorials Brought to you by Towards AI's mission is to make \"building with AI\" more accessible. Since 2019, we have helped teach over 400k about AI with our courses, blogs, tutorials, books, community, and personalized consultancy. After shipping 21 AI apps, Paul Iusztin has used his best-selling LLM Engineer's Handbook, Decoding AI Magazine, and social media platforms to lead 162,000+ AI engineers out of \"demo purgatory\" and into production-grade engineering. Build 'Truly' Autonomous Features for Your Workflows, Company, and Product From agent user to agent builder Enroll Now FAQ Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. How does it compare to your \"Full Stack AI Engineering\" course? The Full Stack AI Engineering course teaches the complete LLM product stack including RAG, fine-tuning, deployment, and agents through one central AI product. The Agents course goes much deeper into designing, orchestrating, evaluating, and deploying production-grade autonomous systems. If Full Stack teaches you how to build an AI product, Agents teaches you how to engineer the autonomy inside it. What projects will I work on? You'll build two interconnected production agents from the ground up: a Research Agent and a Writing Workflow, with human-in-the-loop capabilities, while mastering the foundations of agentic architecture. How is this course different from other AI courses? Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately. Do you have a referral or affiliate program? For every referral you provide, you\u2019ll gain access to our exclusive eBook. If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Our refund policy If you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/courses/llm-primer", + "host": "academy.towardsai.net", + "path": "/courses/llm-primer", + "kind": "course", + "title": "10-Hours LLM Fundamentals (Video)", + "meta_description": "Transform your ideas into AI-powered solutions. Master LLMs from prompts to deployment with essential skills and insights needed for production-ready applications.", + "headings": [ + "Towards AI Academy", + "10-Hour Video-based Crash Course on LLM Fundamentals", + "Build LLM-First Systems: When to Prompt, RAG, Fine-Tune, or Deploy Agents", + "Learn to Use LLMs for Your Domain", + "Understand the Core LLM Developer Toolkit", + "Turn Your Ideas into AI-powered Products", + "What Our Students Say", + "A comprehensive and clear guide", + "Fantastic resource for getting into LLMs", + "Very happy with the course", + "Excellent course for anyone interested in starting with LLMs", + "Course curriculum", + "Foundational AI Knowledge and Using LLMs", + "Designing End-to-End Systems", + "Evaluating RAG and LLM Pipelines", + "AI Workflows and Agents with Case Studies", + "Optimization, Guardrails and Advanced Techniques", + "Re-training Models", + "About this course", + "Dreaming of turning your ideas into AI-powered products?", + "What's Inside This Self-paced Course?", + "Serious About Learning?", + "Industry Leaders on the Course", + "Who Is This Course For?", + "Break Into AI With Tangible Proof of Skill", + "What This Certification Course Can Do for You", + "Launch AI Features That Actually Ship", + "Lead With Confidence in a Post-Prompt World", + "Future-Proof Your Career With the LLM Skillset", + "Course Overview", + "AI Simplified with Hands-On Practice", + "Industry-Specific AI Strategies", + "Customized AI Solutions for Your Business", + "I want to use LLMs in my work\u2014but how do I even know what I need?", + "Your AI Skillset, 10X\u2019d in 10 Hours", + "FAQ", + "Brought to you by" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/courses/llm-primer" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3399532" + }, + { + "text": "Unlock Lifetime Access for $199 (With all future updates)", + "url": "https://academy.towardsai.net/cart/add_product/3399532?price_id=4310653" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/courses/llm-primer" + }, + { + "text": "Read More", + "url": "https://academy.towardsai.net/courses/llm-primer" + }, + { + "text": "Foundational Knowledge and Using LLMs FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3399532?et=free_trial" + }, + { + "text": "Building on Top of LLMs FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3399532?et=free_trial" + }, + { + "text": "Get Lifetime Access to your AI Engineer Stack", + "url": "https://academy.towardsai.net/enroll/3399532" + }, + { + "text": "Save With Our Bundle Offer", + "url": "https://academy.towardsai.net/bundles/10-hour-crash-course-into-llm-developer-expert" + }, + { + "text": "Build Your AI Portfolio Now", + "url": "https://academy.towardsai.net/enroll/3399532" + }, + { + "text": "Level Up in 5 Sessions", + "url": "https://academy.towardsai.net/enroll/3399532" + }, + { + "text": "NEW Agentic AI Engineering Guide", + "url": "https://email-course.towardsai.net/?utm_source=academyheader&utm_medium=banner&utm_campaign=2026_visitors_nostart_signup_glb&utm_id=freeemailcourse" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "10-Hours LLM Fundamentals (Video) Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now 10-Hour Video-based Crash Course on LLM Fundamentals Understand, build, evaluate, automate, and maintain robust LLM solutions Unlock Lifetime Access for $199 (With all future updates) Watch Intro Video Build LLM-First Systems: When to Prompt, RAG, Fine-Tune, or Deploy Agents Learn what to use, when\u2014and why It works Learn to Use LLMs for Your Domain Understand how these models work, how to compare them, how to interact with them, and when to use them. Get insights into \u201cagents\u201d (workflows), domain-specific projects with practical case studies to help choose the best solution for a given scenario (tailored to you). Understand the Core LLM Developer Toolkit Adopt customization, databases, retrieval, frameworks, fine-tuning, evaluations, and more into your daily workflows: the core skills needed to customize LLMs to specific industries and tasks and to improve reliability and usability. Turn Your Ideas into AI-powered Products Gain actionable insights, understand how to replicate this success in your own context, and develop the intuition for techniques like distillation, quantization, RLHF, and robust defenses against prompt-hacking to ensure reliable deployments. What Our Students Say 5 star rating A comprehensive and clear guide Gino Sedano An exceptionally complete, clear, and well-structured course on LLMs. It's the best for learning the most current RAG techniques. An exceptionally complete, clear, and well-structured course on LLMs. It's the best for learning the most current RAG techniques. Read Less 5 star rating Fantastic resource for getting into LLMs Paul Iusztin If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, pas... Read More If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills. Read Less 5 star rating Very happy with the course Alexis Azorin The course is perfect for a first approach to work with LLMs for a user who wants to specialize in this field. It goes to quite advanced methods and tips, very useful for a developer. The course is perfect for a first approach to work with LLMs for a user who wants to specialize in this field. It goes to quite advanced methods and tips, very useful for a developer. Read Less 5 star rating Excellent course for anyone interested in starting with LLMs Horia Constantin The course actually has 12 hours, all of which are totally worth watching. I didn't know much about LLMs before that, and after the course, I was confident that I knew more than most people talking about AI these days. The course is very inform... Read More The course actually has 12 hours, all of which are totally worth watching. I didn't know much about LLMs before that, and after the course, I was confident that I knew more than most people talking about AI these days. The course is very information dense and the hands-on parts help with clarifying and operationalizing the concepts. I consider it money and time very well spent. Read Less Course curriculum The curriculum includes five 2-hour sessions to teach you how to move from a basic prompt to a full production rollout Foundational AI Knowledge and Using LLMs Foundational Knowledge and Using LLMs FREE PREVIEW Quiz Designing End-to-End Systems Building on Top of LLMs FREE PREVIEW Quiz Evaluating RAG and LLM Pipelines Evaluations Quiz AI Workflows and Agents with Case Studies Orchestrating Agent-Based Solutions Quiz Optimization, Guardrails and Advanced Techniques Guardrails, Advanced Techniques, Optimizations and Monitoring Quiz Re-training Models Re-training Models Share your success and showcase your new skills! Quiz About this course $299 $199 5 In-depth Sessions Dreaming of turning your ideas into AI-powered products? Learn what's needed for large-scale deployment Get Lifetime Access to your AI Engineer Stack What's Inside This Self-paced Course? Master the fundamentals, RAG, evaluation, multi-step agent workflows, and large-scale language-model optimization. AI Theory 101 & Limitations of LLMs \u2013 Understand how LLMs process information, their strengths, and their weaknesses, so you can use them effectively and avoid common pitfalls. Using ChatGPT \u2013 Learn how to integrate ChatGPT into your workflows and start building functional LLM solutions immediately. Design an End-to-End Chain \u2013 Craft advanced prompts, set up RAG, and fine-tune models on your domain data. Measure What Matters \u2013 Evaluate quality and safety with automated metrics backed by a human-in-the-loop validation cycle. Orchestrate Agent-based Workflows \u2013 Build multi-step agents that solve real-world problems while staying fast and cost-effective. Master Optimization, Safety, and Monitoring \u2013 Apply distillation, quantization, RLHF, and robust defenses against prompt-hacking to ensure reliable deployments. Certification, community support, and lifetime access Serious About Learning? Continue to Advance with Our Full Stack AI Engineering Course Save With Our Bundle Offer Industry Leaders on the Course \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.\u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur.com & Author of Ace the Data Science Interview \u201cA comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[\u2026]\u201d Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta \u201cIt covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila Who Is This Course For? We are helping you build the imagination and intuition for what is possible with LLMs! This course is specifically designed as a 1 day Bootcamp for Software Professionals (language agnostic). Although the course has a \u201cfor developers\u201d focus, it\u2019s relevant to everyone! No prior knowledge is required. A foundation in Python helps, but isn\u2019t essential to benefit from the training. We teach the core LLM skills and techniques together with practical tips. This will prepare you to either use LLMs via natural language or explore documentation for LLM model platforms and frameworks in the programming language of your choice and start developing your own customized LLM projects. Break Into AI With Tangible Proof of Skill Learn the full LLM pipeline\u2014RAG, agents, evaluation, and optimization. In a crowded AI job market, this is your unfair advantage. Build Your AI Portfolio Now What This Certification Course Can Do for You Launch AI Features That Actually Ship You\u2019ll understand how to evaluate quality, integrate domain data, and monitor for safety, so your features don\u2019t just work in a demo; they hold up in production. Lead With Confidence in a Post-Prompt World Whether you\u2019re guiding a team, building your startup, or upskilling, you\u2019ll develop the mental models and technical fluency to make the big decisions\u2014when to fine-tune, how to scale, and where to push back. Future-Proof Your Career With the LLM Skillset In five focused sessions, you\u2019ll gain a skillset that\u2019s already in demand across product, engineering, and research teams\u2014from startups to enterprise. Course Overview AI Simplified with Hands-On Practice Cut through the buzz and understand what AI can actually do for your business, avoiding the common pitfalls of over-promising technologies. Learn AI and Machine Learning in a no-code environment, gaining a clear understanding of how AI and LLMs function. Industry-Specific AI Strategies Explore real-world applications and case studies to understand how AI is reshaping your industry. Walk away with a toolkit of real-world AI use cases specific to your industry. You will know how to apply AI to boost efficiency, reduce costs, and drive innovation in your sector. Customized AI Solutions for Your Business Understand when and how to tailor AI solutions specifically for your team\u2019s needs, making you a valuable resource in spearheading AI-driven projects. Learn how to use powerful AI tools like ChatGPT to automate tasks, improve customer interactions, and streamline workflows\u2014all without writing a single line of code. I want to use LLMs in my work\u2014but how do I even know what I need? That\u2019s the question nearly every smart, motivated learner starts with\u2014and it\u2019s the one this course is built to answer. With so many tools and techniques out there, the real challenge isn\u2019t coding\u2014it\u2019s knowing where to begin. This course gives you a mental map of the LLM landscape: when to use RAG vs. fine-tuning, where agents fit in, and how to break down a use case so you know what to try first. Before you dive deep, this is the clarity that saves you weeks\u2014and helps you build with confidence, not guesswork. Before you become an expert, become someone who knows what to try first. Your AI Skillset, 10X\u2019d in 10 Hours Whether you're solo or leading a team, learn how to build safer, faster, smarter LLM systems\u2014on time and on budget. Level Up in 5 Sessions FAQ Is this course paid? Yes, it's a paid course with lifetime access Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. How long does this course take to complete? This is a self-paced course, but the average course completion time is 10 hours. Do I need any technical background for this course? You do not need to know a specific programming language to take this course, but it is designed for Software Professionals who need to get the most out of LLM Development techniques. Different LLM model platforms and frameworks vary in which languages they support. Python generally has the broadest compatibility in the LLM ecosystem. What real-world skills will I gain from this course? You\u2019ll learn how to implement AI tools like ChatGPT, customize AI solutions for your company, and lead AI-driven projects that improve efficiency and boost profits. Do you have a referral or affiliate program? For every referral you provide, you\u2019ll gain access to our exclusive eBook. If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I take this course within my company? Yes we partner with companies to offer this course more broadly to teams at companies and can even customise the content. Please reach out if you want to customise the course or to offer the course to a corporate team. When was this course created? Is it still up to date? The course was originally launched in 2025, but we update it every single week with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course\u2014you\u2019re getting a living resource designed to keep you ahead. Brought to you by Towards AI's mission is to make \"building with AI\" more accessible. Since 2019 we have helped teach over 400k about AI with our courses, blogs, tutorials, books, community and personalized consultancy. NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/courses/python-for-genai", + "host": "academy.towardsai.net", + "path": "/courses/python-for-genai", + "kind": "course", + "title": "Become a LLM Developer and Python Pro", + "meta_description": "This certification is for aspiring AI developers, programmers, coding enthusiasts, and professionals seeking to lead AI projects. Whether you're interested in understanding the underlying technologies of LLMs or want to enhance your Python skills specifically for working with LLMs, this course offers everything you ne", + "headings": [ + "Towards AI Academy", + "Become a Python Pro", + "LLM Enthusiast to Python Expert", + "Foundational Python Knowledge for AI Development", + "Hands-On Experience with LLM Tools and APIs", + "Efficiency in Coding with LLM Assistants", + "What Our Students Say", + "Super focused course on getting into Python", + "A Must-Have Starter for Anyone Curious About LLMs", + "Well Balanced Course", + "Industry Leaders on Our Courses", + "What\u2019s Stopping You from Learning Python?", + "What Our Python Course Unlocks for You", + "Turn AI from a Black Box into Your Toolbox", + "Open the Door to High-Impact AI Roles", + "Build AI-Powered Tools That Work for You", + "Who Is This Course For?", + "Course curriculum", + "Introduction", + "Using LLMs", + "Beginner Code Projects", + "Intermediate Code Projects", + "Code Projects Using LLMs", + "Next Steps and Capstone Project", + "About this course", + "Risk-Free Learning: 30-Day Money-Back Guarantee", + "Learn Python Differently\u2014And Faster", + "Hands-On Experience from Day One", + "A Roadmap to AI Mastery", + "A Clear Path to Becoming an AI Expert", + "Course Overview", + "Python Fundamentals for AI", + "Python Coding with LLM Assistants", + "Capstone Project \u2013 Build Your Own AI Application", + "Course Prerequisites", + "Learn Python the LLM-Native Way", + "FAQ", + "Brought to you by:" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/courses/python-for-genai" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3147320" + }, + { + "text": "Unlock Lifetime Access for $149 (With all future updates)", + "url": "https://academy.towardsai.net/cart/add_product/3147320?price_id=4025386" + }, + { + "text": "Watch Intro Video", + "url": "https://youtu.be/_hOpfENqPPA" + }, + { + "text": "Read More", + "url": "https://academy.towardsai.net/courses/python-for-genai" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/courses/python-for-genai" + }, + { + "text": "Create with LLMs & Transform with Code", + "url": "https://academy.towardsai.net/cart/add_product/3147320?price_id=4025386" + }, + { + "text": "Course Introduction and Rationale FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Course Structure FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "How LLMs can be used as Coding Assistants FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Computer Science Fundamentals FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Part 1 Overview: Using LLMs FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Part 2 Overview: Beginner Code Projects FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Personal Budget Tracker FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Understanding Python Environments and Tools FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Part 3 Overview: Intermediate Code Projects FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Part 4 Overview: Code Projects Using LLMs FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Part 5 Overview: Next Steps and Capstone Project FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147320?et=free_trial" + }, + { + "text": "Start Risk-Free", + "url": "https://academy.towardsai.net/cart/add_product/3147320?price_id=4025386" + }, + { + "text": "Start Learning Smarter", + "url": "https://academy.towardsai.net/enroll/3147320" + }, + { + "text": "NEW Agentic AI Engineering Guide", + "url": "https://email-course.towardsai.net/?utm_source=academyheader&utm_medium=banner&utm_campaign=2026_visitors_nostart_signup_glb&utm_id=freeemailcourse" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Become a LLM Developer and Python Pro Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Become a Python Pro The first LLM-native Python course for complete beginners Unlock Lifetime Access for $149 (With all future updates) Watch Intro Video LLM Enthusiast to Python Expert Don't just interact with LLMs, build with them using key Python techniques Foundational Python Knowledge for AI Development You\u2019ll gain a clear understanding of Python programming concepts, tools, and best practices specifically tailored for building and fine-tuning LLMs. By the end of this course, you'll be able to build AI applications that make a real difference in your daily tasks and long-term goals. Hands-On Experience with LLM Tools and APIs You\u2019ll go beyond syntax and theory\u2014learning how to use industry-standard LLM tools from day one. Work with libraries like Hugging Face and integrate open-source models into your projects, all while gradually building up the Python skills you need to take on AI development confidently. Efficiency in Coding with LLM Assistants Instead of struggling with coding from scratch, you\u2019ll learn to code the modern way\u2014iteratively, with AI assistance. We\u2019ll show you how to leverage tools like GitHub Copilot and ChatGPT to write better Python code faster, reducing frustration and maximizing efficiency. What Our Students Say 5 star rating Super focused course on getting into Python Paul Iusztin If you are interested in learning Python for AI app development, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and ed... Read More If you are interested in learning Python for AI app development, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills. Read Less 5 star rating A Must-Have Starter for Anyone Curious About LLMs Neil Garret Sumagang I'm about 30% through the Python Primer for Generative AI course by Towards AI, and I\u2019m genuinely impressed. As someone just starting out in the world of LLMs and generative AI, this course has been the perfect entry point. It doesn\u2019t assume too m... Read More I'm about 30% through the Python Primer for Generative AI course by Towards AI, and I\u2019m genuinely impressed. As someone just starting out in the world of LLMs and generative AI, this course has been the perfect entry point. It doesn\u2019t assume too much prior knowledge and explains things clearly, with just the right amount of hands-on coding to make everything click. The examples are practical and engaging, and I already feel more confident writing Python for LLM workflows. Highly recommend this if you're new and want to build a solid foundation without feeling overwhelmed! Read Less 5 star rating Well Balanced Course Forever Learner I find the course very expressive and well organized. Easy to follow and the level of difficulty is well balanced. I highly recommend the course. I find the course very expressive and well organized. Easy to follow and the level of difficulty is well balanced. I highly recommend the course. Read Less Industry Leaders on Our Courses \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment\u2014all essential topics in an AI Engineer's toolkit.\u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur.com & Author of Ace the Data Science Interview \u201cA comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[\u2026]\u201d Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta \u201cIt covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila What\u2019s Stopping You from Learning Python? Python isn\u2019t just for programmers anymore. With AI, learning to code has never been easier. \u201cI don\u2019t have months to dedicate to this.\u201d \u2192 Learn faster with AI\u2014grasp Python in weeks, not months. \u201cI\u2019m not a math genius, can I still learn Python?\u201d \u2192 Python is built for simplicity, more like English than equations. We teach you the logic, you don't need the math. \u201cI don't need to learn Python, LLMs can code for me\u201d \u2192 LLMs assist, but you need Python to build scalable products that sell. \"AI keeps changing\u2014I\u2019ll have to keep learning forever.\u201d \u2192 That\u2019s why we update the course weekly \u2014so you\u2019re always learning what\u2019s current, not catching up. Plus, we teach you how to teach yourself and adapt as AI evolves. \u201cWhat if I start and get stuck?\u201d \u2192 You\u2019ll get exclusive access to our course tutors on Discord and learn how to use AI to get unstuck. \u201cAm I too late to start learning AI?\u201d \u2192 AI is evolving fast. Python gives you an edge to stay ahead. What Our Python Course Unlocks for You Your journey to becoming the go-to expert for building AI-powered solutions starts here Turn AI from a Black Box into Your Toolbox Most people just use AI\u2014they don\u2019t know how it works. By learning Python, you\u2019ll go beyond prompting and start customizing, fine-tuning, and building AI solutions that actually fit your needs. Open the Door to High-Impact AI Roles Python is the language of AI\u2014whether you want to automate tasks, analyze data, or fine-tune models, it\u2019s the key skill companies look for when hiring AI talent. Build AI-Powered Tools That Work for You Want to create your own AI-powered chatbot, research assistant, or automation tool? With Python, you\u2019ll have the freedom to build, instead of relying on whatever tool is available. Who Is This Course For? This certification is for complete beginners, aspiring AI developers, programmers, coding enthusiasts, and professionals seeking to lead AI projects. This course is designed for complete beginners\u2014no prior coding knowledge required. Whether you\u2019re an aspiring AI developer, a business professional, or someone just fascinated by LLMs, this course gives you the foundational Python skills tailored specifically for working with AI. We don\u2019t assume any prior software knowledge\u2014just a willingness to learn and experiment. You\u2019ll get practical, hands-on exercises that help you build the skills step by step until you\u2019re ready to take on AI applications. Create with LLMs & Transform with Code Course curriculum Introduction Course Introduction and Rationale FREE PREVIEW Course Structure FREE PREVIEW How LLMs can be used as Coding Assistants FREE PREVIEW Computer Science Fundamentals FREE PREVIEW Using LLMs Part 1 Overview: Using LLMs FREE PREVIEW Introduction to ChatGPT, Claude, and Gemini Prompting 101 Quiz Beginner Code Projects Part 2 Overview: Beginner Code Projects FREE PREVIEW Personal Budget Tracker FREE PREVIEW Healthy Habits Tracker Quiz Understanding Python Environments and Tools FREE PREVIEW Analyzing Coffee Shop Sales with Notebooks Text Adventure Game Quiz Intermediate Code Projects Part 3 Overview: Intermediate Code Projects FREE PREVIEW GitHub and Code Versioning Random Password Generator Web Scraping Quiz Interactive Quiz App with Gradio Personal Finance Dashboard with Charts Quiz Code Projects Using LLMs Part 4 Overview: Code Projects Using LLMs FREE PREVIEW How LLMs work News Analyzer: Summarize, Sentiment, and Tags Chat with Your Documents: A RAG Application Create an API for Drafting Social Posts Quiz Future of AI-Driven Programming The Future in Practice: Your Guide to AI Coding Tools Next Steps and Capstone Project Part 5 Overview: Next Steps and Capstone Project FREE PREVIEW Where to Go From Here: Paths to Explore Capstone Project Description Capstone Project DropBox Share your success and showcase your new skills! AI Tutor - Ask any question! About this course $149.00 38 lessons Risk-Free Learning: 30-Day Money-Back Guarantee We created this course to help you get hands-on with Python in the GenAI era. But if it\u2019s not what you expected or needed, you can request a full refund within 30 days. Your learning journey is what matters most. Start Risk-Free Learn Python Differently\u2014And Faster Hands-On Experience from Day One No fluff, just real-world skills. You\u2019ll immediately start applying what you learn with practical exercises that ensure you\u2019re ready to use Python and AI tools in your work. A Roadmap to AI Mastery We focus on giving you the confidence to build, fine-tune, and deploy AI solutions that actually solve problems\u2014whether it\u2019s boosting team productivity or creating the next big innovation. A Clear Path to Becoming an AI Expert This course equips you with the skills needed to be the go-to person for developing AI-powered solutions and leading AI projects in your organization. Course Overview Python Fundamentals for AI Start from the basics and quickly progress to mastering Python, focusing on coding directly applicable to AI and LLM development. You\u2019ll gain a clear understanding of Python programming concepts, tools, and best practices specifically tailored for building and fine-tuning LLMs. Python Coding with LLM Assistants Discover how tools like GitHub Copilot and ChatGPT can be valuable coding partners, making Python programming more accessible and efficient. You\u2019ll learn how to implement them in real-world scenarios, enhancing both your speed and efficiency in developing AI solutions. Capstone Project \u2013 Build Your Own AI Application Apply everything you\u2019ve learned in a comprehensive capstone project where you\u2019ll build an AI-driven solution using Python and LLMs. Whether it\u2019s a news summarizer, sentiment analysis tool, or another real-world solution, you\u2019ll have a portfolio-ready project to showcase your skills. Course Prerequisites None. Seriously. To get the most out of this course, no prior coding experience is required, but a passion for learning and curiosity about AI is essential. Whether you\u2019re completely new to programming or have some familiarity with Python, this course will guide you through the process of mastering Python for AI development. Just curiosity, a computer, and internet access. No prior coding experience required. No software background needed. Learn Python the LLM-Native Way Start Learning Smarter FAQ Is this course paid? Yes Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. What projects will I work on? You will work on a comprehensive capstone project where you\u2019ll build an AI-driven solution using Python and LLMs. When was this course created? Is it still up to date? The course was originally launched in 2025, but we update it every single week with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course\u2014you\u2019re getting a living resource designed to keep you ahead. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Do you have a referral or affiliate program? Yes. Towards AI offers an Affiliate Program and Referral Program, enabling you to earn money (up to $70 per course & $180 for a bundle) and free access to our courses by promoting our top courses and the \"Building LLMs for Production\" eBook. Check the 'Affiliate' page linked in the header. Do I need prior experience with AI? No coding experience is required to take this course. It teaches Python skills from scratch. Our refund policy If, after completing the first section, you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. Brought to you by: NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/bundles/tai-mentorship", + "host": "academy.towardsai.net", + "path": "/bundles/tai-mentorship", + "kind": "bundle", + "title": "Towards AI Towards AI Mentorship", + "meta_description": "AI career support and production mentorship from the AI engineering team at Towards AI. Resume teardowns, async help on any AI-related topic, architecture reviews, and industry Q&A to land and succeed in AI roles.", + "headings": [ + "Towards AI Academy", + "AI Engineering Mentorship by Towards AI A Team of AI Engineers Behind Every Step of Your Career", + "The Team Behind This Has Built For:", + "Built for Your Entire AI Engineering Career", + "Before the Job: Building Skills & Internship", + "For the Job: Resume, Project Review, Jobs", + "After the Job: Community, Mentors, Industry Access", + "Why AI Leaders Trust the Towards AI Team", + "Whether You're Breaking In, Switching Over, or Already Building", + "Breaking Into AI Engineering", + "Switching to AI Engineering", + "Already an AI Engineer", + "A Direct Line to Senior AI Engineers", + "The Experience Behind Your Mentorship", + "Everything Inside the Mentorship", + "Your AI career doesn't have to be a solo project.", + "$99.00 / month", + "$899.00 / year", + "What Engineers Say About Learning With Us", + "The most comprehensive LLM / AI engineering course out there", + "An Exceptional End-to-End LLM Engineering Course", + "Recommend this course and perfect launchpad for diving into LLM App Development", + "A Practical, Production-Grade Guide to Agentic Engineering", + "Practical step by step guide develop and deploy LLM products", + "Great AI Course for both Beginners and Experts!", + "Must Have course to learn Agentic AI Engineering", + "Best Resource on Agentic AI", + "Practical, Comprehensive, and Inspiring AI Learning Journey", + "Production-Grade Agentic AI Starts Here", + "Excellent Course for Serious Students", + "Fantastic course for Software Developer/Engineering", + "FAQ", + "Your next role in AI starts with the right team behind you" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/bundles/tai-mentorship" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3625904" + }, + { + "text": "Purchase", + "url": "https://academy.towardsai.net/enroll/3625904" + }, + { + "text": "Join the Mentorship \u2014 $99/month", + "url": "https://academy.towardsai.net/cart/add_product/3625904?price_id=4565072" + }, + { + "text": "Join the Mentorship", + "url": "https://academy.towardsai.net/enroll/3625904" + }, + { + "text": "Join the Mentorship", + "url": "https://academy.towardsai.net/cart/add_product/3625904?price_id=4748108" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/bundles/tai-mentorship" + }, + { + "text": "Read More", + "url": "https://academy.towardsai.net/bundles/tai-mentorship" + }, + { + "text": "Join the Mentorship", + "url": "https://academy.towardsai.net/cart/add_product/3625904?price_id=4565072" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Towards AI Towards AI Mentorship Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now AI Engineering Mentorship by Towards AI A Team of AI Engineers Behind Every Step of Your Career Production mentorship, internship experience, resume positioning, and direct access to the AI engineering team at Towards AI $99/month or $899/year (save 24%) Select a pricing option $99.00 / month $899.00 / year Purchase The Team Behind This Has Built For: Built for Your Entire AI Engineering Career A world-class engineering team behind every stage of your AI engineering career. Before the Job: Building Skills & Internship Jobs require experience. Experience requires a job. We break that cycle with production mentorship, weekly live calls, and AI engineering internships alongside our team to give you the experience employers demand. For the Job: Resume, Project Review, Jobs Most AI candidates are qualified. Few are prepared. We tear apart your resume live, reposition your projects as AI engineering work, and connect you to curated roles through our portal. After the Job: Community, Mentors, Industry Access AI reinvents itself every quarter. Most engineers navigate it alone. A community hub with a senior AI engineering team on call, weekly sessions with founders and hiring leaders, and peers who are shipping AI at the companies you're trying to join. Why AI Leaders Trust the Towards AI Team The same team these leaders trust for AI education is now behind your mentorship. \u201cHelps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. \u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code.\u201d Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta \u201cTowards AI has done a great job assembling all of the technical resources needed by a modern GenAI applied practitioner.\u201d Sander Schulhoff, Founder and CEO of Learn Prompting \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cLouis and the Towards AI team have created an essential resource for developers who want to expand their AI expertise and apply it to real-world challenges.\u201d Alex Volkov, AI Evangelist at Weights & Biases and Host of ThursdAI.news \u201cContains thorough explanations and code for you to start using and deploying LLMs, as well as optimizing their performance. Very highly recommended!\u201d Luis Serrano, PhD, Founder of Serrano.Academy and author of Grokking Machine Learning \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur \u201cAn indispensable guide for anyone venturing into the world of large language models...Covering everything from theory to practical deployment.\u201d Shashank Kalanithi, Data Engineer at Meta \u201cThis will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila Whether You're Breaking In, Switching Over, or Already Building Mentorship for every stage of your AI engineering career Breaking Into AI Engineering You've done the courses and side projects. Now you need production experience, a positioned resume, and engineers who can vouch for your work. Switching to AI Engineering You have the engineering depth. You need AI-specific context, portfolio projects that reflect it, and guidance from people who've made the same move. Already an AI Engineer You're building in production and hitting real walls: architectural trade-offs, tool selection, scaling decisions. You need senior engineers, not Stack Overflow. A Direct Line to Senior AI Engineers Every career or technical question answered by a real engineer- not a forum, not a chatbot, not a week-long wait. Join the Mentorship \u2014 $99/month The Experience Behind Your Mentorship Everything Inside the Mentorship 2 live sessions every week: architecture reviews, resume teardowns, and career Q&A at rotating times for all time zones Direct async access to our AI engineering team for any technical or career question Members-only community hub for discussions, networking, and peer support Internship opportunities alongside our production engineers on real projects Monthly live events with industry leaders: founders, hiring managers, and senior engineers Weekly curated AI job digest from our network Your AI career doesn't have to be a solo project. Save $289 (24%) on the yearly plan 30-day money-back guarantee on yearly plan\u00b7 Cancel anytime \u00b7 All sessions recorded $99.00 / month Regular price Join the Mentorship $899.00 / year Yearly Join the Mentorship What Engineers Say About Learning With Us 5 star rating The most comprehensive LLM / AI engineering course out there Carlo Casorzo I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended Read Less 5 star rating An Exceptional End-to-End LLM Engineering Course Gino Sedano The Full Stack Engineering course by Towards AI is truly exceptional because it doesn\u2019t just teach you how to use LLMs\u2014it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessar... Read More The Full Stack Engineering course by Towards AI is truly exceptional because it doesn\u2019t just teach you how to use LLMs\u2014it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessary math, about how LLMs work and why they fail, and then guides you step by step through building a complete RAG AI Tutor, covering prompting, basic and advanced RAG, evaluation, fine-tuning, embeddings, data scraping and cleaning, model selection across open and closed ecosystems, cost, privacy, and optimization. Everything is taught in a hands-on, practical way, including lessons learned from approaches that didn\u2019t work and why, which closely mirrors real-world engineering. The course goes beyond notebooks: you finish by deploying your solution using FastAPI, Gradio, and Hugging Face Spaces, with clear guidance for production readiness. It also broadens your perspective with agents, frameworks like LangChain and LlamaIndex, observability, optimization, and a strong product and business mindset. It\u2019s demanding, well structured, and firmly grounded in real-world practice\u2014ideal if you want to move from experimenting with LLMs to building serious, production-ready solutions. Read Less 5 star rating Recommend this course and perfect launchpad for diving into LLM App Development Chaithanya Vamshi Sai The course does an amazing job of walking you through real-world LLM development, and I loved the flexibility of using open-source models. However, it would be even better if it provided more hands-on for fine-tuning and hosting those models on sm... Read More The course does an amazing job of walking you through real-world LLM development, and I loved the flexibility of using open-source models. However, it would be even better if it provided more hands-on for fine-tuning and hosting those models on smaller hardware (For example, UnSloth). All the theoretical concepts were covered in writing, but adding more video content or visual walkthroughs or infographics could make it more engaging and easier to follow, especially for learners like me who benefit from seeing things in action. Overall, I recommend this course to get started with building LLM apps. It covers all the key Gen AI concepts and considerations for AI developers to consider when developing real-world products. Read Less 5 star rating A Practical, Production-Grade Guide to Agentic Engineering Shekhar Tanwar This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workfl... Read More This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workflows feel industry-standard, making it especially valuable for engineers looking to ship reliable, scalable agentic systems. Read Less 5 star rating Practical step by step guide develop and deploy LLM products Srikanth phalgun Pyaraka I recently enrolled in this course, and I can confidently say it has exceeded my expectations! From the very first lesson, the clarity and organization of the material stood out. The instructors are not only experts in their field, but they also d... Read More I recently enrolled in this course, and I can confidently say it has exceeded my expectations! From the very first lesson, the clarity and organization of the material stood out. The instructors are not only experts in their field, but they also deliver the content in an engaging manner that makes learning enjoyable and impactful. The course structure strikes a perfect balance between theory and practical application, allowing me to grasp the concepts effectively. I have already seen a significant improvement in my skills and feel empowered to apply what I've learned in real-world situations. Additionally, the community is dynamic and incredibly supportive. The discussion forums and group activities create an environment where collaboration thrives, and everyone benefits from sharing ideas and experiences. I wholeheartedly recommend this course to anyone serious about advancing their knowledge and skills. It is undeniably a worthy investment! Read Less 5 star rating Great AI Course for both Beginners and Experts! Berit S\u00f8gaard This course is a game-changer for anyone looking to build and optimize LLMs. It provides a perfect balance of foundational concepts and advanced techniques, making it an invaluable resource for AI enthusiasts and professionals alike. This course is a game-changer for anyone looking to build and optimize LLMs. It provides a perfect balance of foundational concepts and advanced techniques, making it an invaluable resource for AI enthusiasts and professionals alike. Read Less 5 star rating Must Have course to learn Agentic AI Engineering Vinay Gupta This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. Read Less 5 star rating Best Resource on Agentic AI Hemkumar Poosala In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI ... Read More In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI Engineering by Louis Bouchard and Paul Lusztin i was amazed by the way the course has been designed it has in depth concepts and practical implementations which was wonderful, planning to implement these skills in my job . I throughly enjoyed learning this course and i would recommend anyone who is looking out for Agentic AI course this will help them in their career .Amazing work Louis and Paul kudous to you both.Thanks for giving the wonderful oppurtunity. Read Less 5 star rating Practical, Comprehensive, and Inspiring AI Learning Journey Gilberto Filho This course exceeded my expectations. It not only covered the fundamentals of AI engineering but also provided hands-on projects that made the learning process practical and engaging. The instructors explained complex concepts clearly, connecting ... Read More This course exceeded my expectations. It not only covered the fundamentals of AI engineering but also provided hands-on projects that made the learning process practical and engaging. The instructors explained complex concepts clearly, connecting theory with real-world applications. I particularly enjoyed how the course balanced breadth (full stack perspective) with depth (solid foundations in each layer). By the end, I felt equipped to build and deploy AI solutions confidently. Highly recommended for anyone who wants to go beyond surface-level AI knowledge and truly understand how to engineer end-to-end systems. Read Less 5 star rating Production-Grade Agentic AI Starts Here Sean Myers This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It\u2019s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything ... Read More This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It\u2019s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything from architecture patterns to evaluation and reliability. Read Less 5 star rating Excellent Course for Serious Students David Turner I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!! I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!! Read Less 5 star rating Fantastic course for Software Developer/Engineering Shiwang Singh As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the rig... Read More As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the right insights to get started with building a RAG system in a practical way. Thanks, Louis-Fran\u00e7ois, for the great course! Read Less FAQ Is this 1:1 coaching? Not exactly. Live sessions are group-based (your resume/project is reviewed in front of the room), and async support is direct. You get personal feedback without 1:1 pricing. What if I can't attend the live sessions? Every session is recorded and available within 24 hours. You can also submit your resume or project for async written review. I'm a beginner. Is this for me? If you've taken an AI course or can write Python, yes. If you're starting from zero, our courses are a better first step, the Mentorship program is where you go after. How is this different from your courses? Courses teach you how to build. The Mentorship program provides ongoing production guidance, career support, and access to the team, so you can land the AI engineering role and keep growing. Can I cancel anytime? Yes. Monthly plans cancel instantly. Annual plans include a 30-day money-back guarantee. Your next role in AI starts with the right team behind you Production experience, career preparation, and a team of engineers working with you every week. Join the Mentorship , 99, Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/courses/ai-business-professionals", + "host": "academy.towardsai.net", + "path": "/courses/ai-business-professionals", + "kind": "course", + "title": "No-Code AI Mastery for Businesses and Professionals", + "meta_description": "This course is specifically designed for non-technical professionals who want to harness the power of AI in their industries without getting overwhelmed by the technical details. Walk away with a toolkit of real-world AI use cases specific to your industry.", + "headings": [ + "Towards AI Academy", + "Master AI for Work", + "Our \"AI First\" Alumni Are Already...", + "What Our Students Say", + "Great Course", + "AI for Business Professionals", + "Drive the AI-First Mindset in your TEAM, COMPANY & INDUSTRY", + "Go Beyond Basic Prompting and Chatbots & Use AI Tools for Real Work", + "Kickstart Custom AI Projects Without Technical Know-How", + "Build an AI-first Mindset", + "Who Is This Course For?", + "Industry Leaders on Our Courses", + "Course curriculum", + "Module 0: Introduction", + "Module 1: Getting Started with Generative AI", + "Module 2: Core LLM Use Cases with Hands-on Examples", + "Module 3: More Models, Agents and Tools", + "Module 4: [Optional, Role Specific] AI for Sales Roles", + "Module 5: [Optional, Role Specific] AI for Marketing", + "Module 6: [Optional, Role Specific] AI for Finance Research and Analysis", + "Module 7: [Optional, Role Specific] AI for Human Resources and Recruitment", + "Module 8: [Optional, Role Specific] AI for Product Management and Innovation", + "Module 9: [Optional, Role Specific] AI for Software Development", + "Module 10: [Optional, Role Specific] AI for Finance and Accounting", + "Module 11: [Optional, Role Specific] AI for Customer Service and Support", + "Module 12: [Optional, Role Specific] AI for Professional Consulting", + "Module 13: [Optional, Role Specific] AI for Management and Leadership", + "Module 14: [Optional, for Leaders] Strategic AI Adoption Guide", + "About this course", + "Risk-Free Learning: 30-Day Money-Back Guarantee", + "What You\u2019ll Learn (And Actually Use)", + "Course Prerequisites", + "Brought to you by:", + "FAQ", + "Course Overview", + "AI Simplified with Hands-On Practice", + "Industry-Specific AI Strategies", + "Customized AI Solutions for Your Business", + "What This Course Can Do for You", + "Boost Efficiency", + "Enhance Team Capabilities", + "Spot Opportunities" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/courses/ai-business-professionals" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3147325" + }, + { + "text": "Unlock Lifetime Access for $399 (With all future updates)", + "url": "https://academy.towardsai.net/cart/add_product/3147325?price_id=4025392" + }, + { + "text": "Watch Intro Video", + "url": "https://youtu.be/_NeML4nFkPw" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/courses/ai-business-professionals" + }, + { + "text": "Introduction FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147325?et=free_trial" + }, + { + "text": "Course Admin and Syllabus FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147325?et=free_trial" + }, + { + "text": "AI for Business Professionals: Top Tips Cheat Sheet FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147325?et=free_trial" + }, + { + "text": "Introduction to Module 1 FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147325?et=free_trial" + }, + { + "text": "Prompting 101 FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147325?et=free_trial" + }, + { + "text": "A Brief Introduction to AI and Large Language Models (LLMs) FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147325?et=free_trial" + }, + { + "text": "Buy Now Risk-Free", + "url": "https://academy.towardsai.net/cart/add_product/3147325?price_id=4025392" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "No-Code AI Mastery for Businesses and Professionals Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Master AI for Work Learn to get real benefits from LLMs for valuable tasks from experts that build AI for a living. Weekly updates, lifetime access, 30-day money back guarantee. Unlock Lifetime Access for $399 (With all future updates) Watch Intro Video Our \"AI First\" Alumni Are Already... Combining their own expertise with AI to deliver both higher quality and a higher quantity of work relative to colleagues Building an \u201cAI-first\u201d mindset that allows them to find where AI tools add the most value to everyday workflows Getting promoted faster by driving more efficient workflows, increasing productivity, and delivering results quicker What Our Students Say 5 star rating Great Course Rinat Din This course gives a lot of useful info plus it shows how to use LLMs for work in diffrent fields marketing, sales, managment and etc. This course gives a lot of useful info plus it shows how to use LLMs for work in diffrent fields marketing, sales, managment and etc. Read Less 5 star rating AI for Business Professionals Juli\u00e1n G\u00f3mez Read Less Drive the AI-First Mindset in your TEAM, COMPANY & INDUSTRY AI is \u201cno longer a nice-to-have; it\u2019s a boardroom mandate.\u201d Go Beyond Basic Prompting and Chatbots & Use AI Tools for Real Work Learn how to leverage top LLMs like ChatGPT, Gemini, Claude, and Perplexity to automate YOUR tasks and master prompting, context building, and reasoning techniques to get high-quality outputs every time. Kickstart Custom AI Projects Without Technical Know-How Master no-code tools like NotebookLM, Deep Research, CustomGPTs, Agents, and Artifacts that will help you automate repetitive tasks, create personalized customer experiences, and optimize your team's productivity. Build an AI-first Mindset Gain actionable insights from case studies showing real-world AI implementations that have saved millions\u2014understand how to replicate this success in your own context. Learn how to develop strategic AI initiatives, focusing on implementation and governance. Who Is This Course For? This course is designed for anyone who wants to harness the power of AI in their industries. This course is perfect for: Any Professional ready to kickstart their AI usage at work and to become an AI Power User. Role Specific Modules Include; Sales, Marketing, Investment Research and Banking, HR & Recruitment, Product Management & Product Innovation, Software Development, Customer Service & Support, Professional Consulting, Manager and Leadership Positions Managers, Team Leaders and Executives who want to guide smart AI adoption. We teach valuable AI use cases in your roles as well as a dedicated module to guide strategic AI adoption and help you lead AI-First initiatives internally. Consultants & Strategists advising clients in the AI era Entrepreneurs & Business Owners wanting to scale with fewer roadblocks Ambitious learners who want practical mastery\u2014not theory Industry Leaders on Our Courses \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.\u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur.com & Author of Ace the Data Science Interview \u201cA comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[\u2026]\u201d Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta \u201cIt covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila Course curriculum Module 0: Introduction Introduction FREE PREVIEW Course Admin and Syllabus FREE PREVIEW AI for Business Professionals: Top Tips Cheat Sheet FREE PREVIEW Module 1: Getting Started with Generative AI Introduction to Module 1 FREE PREVIEW Prompting 101 FREE PREVIEW A Brief Introduction to AI and Large Language Models (LLMs) FREE PREVIEW Alien Intelligence Leads to Unintuitive Mistakes Introduction to ChatGPT, Claude and Gemini Security and Privacy Risks When Using LLMs in Business Providing \"Context\" to LLMs for Better Results [Plus RAG Chatbots] Claude Cowork Part 1: Your AI Teammate That Actually Does the Work Claude Cowork Part 2; Claude in Chrome, Excel and PPT + 10 Hands on Use cases Module 2: Core LLM Use Cases with Hands-on Examples Introduction to Module 2 Impact of Large Language Models on Different Job Categories AI as a Personal Tutor: Getting up to Speed on Any New Topic AI Apps and AI Audio: Using NotebookLM to Learn on the Go Using LLMs for Research (or Gathering \u201cContext\u201d) via Perplexity Using LLMs for Writing AI for Summarization, Parsing, and Data Extraction 5 Quick Case Studies: Iterative AI Collaboration in Professional Writing Professional Writing AI Application Quiz Multimodal AI: Understanding and Extracting Insights from Images Generative AI Image and Graphic Creation Choosing your LLM; Introducing Key Comparison Metrics, Benchmarks and Leaderboards. Introducing AI \u201cReasoning Models\u201d; OpenAI\u2019s o1, o3, Deepseek r1, Flash 2.0 Thinking Using Reasoning Models as a Brainstorming Partner AI as a Brainstorming Partner - 3 Quick Case Studies Brainstorming with Reasoning LLMs: 20 Quiz Scenarios LLMs for Data Analysis; Using OpenAI Code Interpreter LLMs for Data Visualization; Using Claude Artifacts for Infographics Introducing AI Agents; OpenAI\u2019s 3rd Level of intelligence AI as a Research Agent; OpenAI, Gemini and Perplexity Deep Research Case Study: Pulling together our LLM Uses; Organising a Major Conference End to End Making Prompts Robust and Scaling Re-Use; Evaluation and Iteration; Custom GPTs Effective Checking, Fact Verification, and Source Scrutiny Module 3: More Models, Agents and Tools Introduction to Module 3 An Overview of leading LLMs; Model Families, Classes and Comp sheet No-Code Platforms for Building Custom AI Agents for Professional Workflows Hands-on Custom Agent Examples: Integrail, CrewAI, and Copilot Studio Staying ahead of AI Developments Closing of Core Course; Introduction to Role Specific Modules Share your success and showcase your new skills! Module 4: [Optional, Role Specific] AI for Sales Roles AI in Sales Workflows Project: Developing a Three-Stage Sales Email Sequence for a Software Demo Project: Navigating a B2B Sales Cycle with AI Assistance AI in Sales - 5 Case Study Concepts Sales Workflow AI Application Quiz Module 5: [Optional, Role Specific] AI for Marketing AI in Marketing Workflows AI in Customer Engagement Workflows Project: Crafting a Product Launch Narrative with an LLM Marketing Workflow Case Study: Launching the \"TerraBrew\" Eco-Friendly Coffee Subscription AI in Marketing - 6 Case Study Concepts Marketing Quiz Case Studies Module 6: [Optional, Role Specific] AI for Finance Research and Analysis AI in Finance Research and Analysis Real World Example: Rapid Response to Germany's Fiscal Stimulus News Case Study: Developing an Investment Thesis with AI Augmentation AI in Finance - Case Study Concepts Finance Research & Trading AI Use Case Quizzes Module 7: [Optional, Role Specific] AI for Human Resources and Recruitment Using LLMs in Human Resources and Recruitment Workflows Case Study: Implementing a Data-Driven Employee Wellness Program using AI AI in HR - Case Study Concepts AI in HR - Quiz Case Studies Module 8: [Optional, Role Specific] AI for Product Management and Innovation Using LLMs in Product Management and Innovation Workflows Using LLMs Across the Product Management Lifecycle: Developing an AI Feature AI in Product Management and Innovation - 4 Case Study Concepts AI in Product Management and Innovation - Quiz Case Studies Module 9: [Optional, Role Specific] AI for Software Development AI in Software Development A Guide to AI Coding Methods and Tools: \u201cVibe Coding\u201d, Copilot, and Cursor Example Vibe Coding Scenario: Website Uptime Checker Module 10: [Optional, Role Specific] AI for Finance and Accounting Using LLMs in Finance and Accounting Workflows Project: Streamlining Quarterly Business Review (QBR) Preparation with AI AI in Accounting and Finance - 5 Case Study Concepts AI in Accounting and Finance - Quiz Case Studies Module 11: [Optional, Role Specific] AI for Customer Service and Support Using LLMs in Customer Service and Support Workflows AI in Customer Service and Support - Case Study Concepts Multi-Step Workflow Case Study: Resolving Complex SaaS Technical Issues with AI Assistance Customer Service and Support - Quiz Case Studies Module 12: [Optional, Role Specific] AI for Professional Consulting How LLMs Can Be Used to Aid Workflows in Professional Consulting Roles Multi-Step Workflow Case Study: Professional Consulting AI in Professional Consulting - Case Study Concepts AI in Professional Consulting - Quiz Case Studies Module 13: [Optional, Role Specific] AI for Management and Leadership How LLMs Can Support Management and Leadership Workflows Enhancing Team Efficiency with AI Tools Management Multi-Step Workflow Case Study AI in Management and Leadership - Case Study Concepts AI in Management and Leadership - Quiz Case Studies Module 14: [Optional, for Leaders] Strategic AI Adoption Guide A Manager\u2019s Guide to Strategic AI Adoption Exploring the Current Generative AI Landscape Enterprise Adoption of Generative AI Should You Build Your Own Internal AI? A Guide to Custom vs. Off-the-Shelf Solutions Should you Build AI Products for Customers? Defining your Own AI Tool by Industry, niche, primary function and target users Customizing LLMs for Business Needs: Prompting, RAG, Tools, and Fine-Tuning Key ways to Interact with LLMs Ethical and Responsible AI Use Top Tips for Managing Custom LLM Development AI Adoption; Business Surveys AI Enterprise Customer Case Studies Show more About this course $399.00 98 lessons Risk-Free Learning: 30-Day Money-Back Guarantee This course is built for business professionals new to AI. If it turns out not to be what you were looking for, we offer a 30-day full refund\u2014no pressure, no hoops to jump through. Buy Now Risk-Free What You\u2019ll Learn (And Actually Use) It\u2019s not just what AI can do. It\u2019s what you can do with it. Work with ChatGPT, Claude, Gemini, NotebookLM, and Perplexity\u2014know which to use, when Use AI as your personal tutor, research assistant, brainstorming partner, and design intern Master prompting, context, and reasoning to get consistently great outputs Use specialized tools for audio, visuals, analysis, and creating personalized workflows Analyze data and build visuals\u2014no code needed Explore role-specific applications in Sales, HR, Finance, Marketing, and Leadership Learn how to create AI workflows and agents that save time and scale results Make smart decisions around tools, privacy, governance, and team adoption Course Prerequisites No Technical Background Required, Just a Desire to Lead in AI This course is for professionals who want to drive AI transformation in their industries. You don\u2019t need a coding background\u2014just the commitment to learn and apply AI tools that can revolutionize your business or career. Brought to you by: FAQ Is this course paid? Yes Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. How long does this course take to complete? This is a self-paced course, but the average course completion time is 20 hours. Do I need any technical background for this course? No, this course is designed for non-technical professionals. We focus on practical, no-code applications that allow you to implement AI solutions immediately. What real-world skills will I gain from this course? You\u2019ll learn how to implement AI tools like ChatGPT, customize AI solutions for your company, and lead AI-driven projects that improve efficiency and boost profits. Do you have a referral or affiliate program? Yes. Towards AI offers an Affiliate Program and Referral Program, enabling you to earn money (up to $70 per course & $180 for a bundle) and free access to our courses by promoting our top courses and the \"Building LLMs for Production\" eBook. Check the 'Affiliate' page linked in the header. Can I take this course within my company? Course Overview AI Simplified with Hands-On Practice Cut through the buzz and understand what AI can actually do for your business, avoiding the common pitfalls of over-promising technologies. Learn AI and Machine Learning in a no-code environment, gaining a clear understanding of how AI and Large Language Models (LLMs) function. Industry-Specific AI Strategies Explore real-world applications and case studies to understand how AI is reshaping your industry. Walk away with a toolkit of real-world AI use cases specific to your industry. You will know how to apply AI to boost efficiency, reduce costs, and drive innovation in your sector. Customized AI Solutions for Your Business Understand when and how to tailor AI solutions specifically for your team\u2019s needs, making you a valuable resource in spearheading AI-driven projects. Learn how to use powerful AI tools like ChatGPT to automate tasks, improve customer interactions, and streamline workflows\u2014all without writing a single line of code. What This Course Can Do for You Boost Efficiency Learn how companies like Klarna have saved millions using AI and how you can implement similar strategies. You will also work with tools like ChatGPT to streamline processes and improve efficiency. Enhance Team Capabilities Train your team to effectively utilize AI tools that can handle complex workflows, saving time and increasing productivity. You will automate tasks and streamline workflows. Spot Opportunities Identify where AI fits into your sector, whether it\u2019s enhancing funnels, optimizing operations, or transforming product development. You will apply AI to reduce costs and drive innovation in your sector. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/products/digital_downloads/agents-cheatsheet", + "host": "academy.towardsai.net", + "path": "/products/digital_downloads/agents-cheatsheet", + "kind": "digital_download", + "title": "Towards AI's Ultimate Agents Cheatsheet - Towards AI Academy", + "meta_description": "Free AI Agents Cheatsheet to help you choose between workflows, single agents, and multi-agent systems. Learn proven architecture patterns, avoid costly mistakes, and build production-ready AI systems.", + "headings": [ + "Agent Design Cheatsheet", + "Are You Making These Costly AI Architecture Mistakes?", + "Inside This Cheatsheet & Webinar", + "\ud83d\udcca You\u2019ll stop guessing the architecture.", + "\ud83d\udd27 You\u2019ll stop discovering requirements late.", + "\u2705 You\u2019ll build in reliability from day one.", + "Trusted by Industry Leaders", + "About the Agents Cheatsheet and webinar", + "FAQ", + "Get the Framework Top AI Teams Use Daily", + "Meet the Experts", + "Towards AI Academy Courses" + ], + "links": [], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Towards AI's Ultimate Agents Cheatsheet - Towards AI Academy Digital download Agent Design Cheatsheet Trusted by engineers at Intel, Europol, Thinkific, and more \u2193 Get the free decision framework that shows you exactly when to use workflows, single agents, or multi-agent systems. \ud83d\udce9 Bonus 1-hour webinar delivered to your inbox; check your spam so you don't miss it. First Name Email If you are a human, ignore this field Download Now Used in architecture reviews at Activeloop, NY Public Library, Police Nationale de France, and more... Updated monthly (last updated in January 2026) Trusted by 100K+ learners building production-grade systems Are You Making These Costly AI Architecture Mistakes? This cheat sheet helps you stay as simple as possible, because each step toward multi-agent can multiply tokens, latency, and debugging overhead! Inside This Cheatsheet & Webinar \ud83d\udcca You\u2019ll stop guessing the architecture. Instead of defaulting to \u201cagent + tools,\u201d you\u2019ll make a clean decision using constraints: when a workflow is enough, when a single agent is justified, and when multi-agent is truly worth the complexity. \ud83d\udd27 You\u2019ll stop discovering requirements late. You\u2019ll learn the kickoff questions that force clarity upfront, so cost blowups, tool sprawl, and untestable autonomy don\u2019t show up after you\u2019ve already built half the system. \u2705 You\u2019ll build in reliability from day one. You\u2019ll leave with practical rules for making agents production-safe: validate outputs, instrument runs, route edge cases to humans, and keep the agent thin so the system is debuggable. Trusted by Industry Leaders & 100,000+ Learners \u201d Contains thorough explanations for you to start using and deploying LLMs. Very highly recommended! Luis Serrano PhD, Founder of Serrano Academy Helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. Jerry Liu CEO of LlamaIndex A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code. Pete Huang Co-founder of The Neuron \u201d This will be valuable to anyone looking to dive into the field quickly and efficiently. Jeremy Pinto Senior Applied Research Scientist at Mila \u201d Contains thorough explanations for you to start using and deploying LLMs. Very highly recommended! Luis Serrano PhD, Founder of Serrano Academy A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code. Pete Huang Co-founder of The Neuron Helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. Jerry Liu CEO of LlamaIndex \u201d This will be valuable to anyone looking to dive into the field quickly and efficiently. Jeremy Pinto Senior Applied Research Scientist at Mila About the Agents Cheatsheet and webinar 1-hour Webinar: Global context behind workflows and agents + how we view them and implement them with clients at Towards AI. Cheatsheet: Page 1: Make the architecture call quickly using the spectrum + autonomy test, so you don\u2019t pay multi-agent costs for workflow problems. Page 2: Know when multi-agent works, when it fails, and what reliable systems always include. Page 3: Run a better kickoff with a repeatable 7-step sequence that prevents rework. Pages 4-5: Use the 12 questions to translate \u201crequirements\u201d into an architecture + system design plan with concrete build outputs. Page 6: Turn the framework into next steps (what to learn next / where to go deeper). FAQ \u2713 Completely free: no credit card, no hidden costs, no upsell required \u2713 Webinar you can watch at anytime \u2713 Instant PDF delivery: download immediately, read offline, print for your team \u2713 Bonus resources included: we'll personally email you resources trusted by 100K+ AI engineers (check your spam folder so you don't miss them) \u2713 Created by Towards AI: 100K+ students, real production experience \u2713 Decision-ready format: use it in your next project kickoff this week \u2713 Updated January 2026: reflects current best practices and latest thinking \u2713 Want to go deeper? Explore our in-depth AI engineering courses: https://academy.towardsai.net/ Get the Framework Top AI Teams Use Daily Stop building impressive demos that collapse under real users. Use a repeatable framework to choose the right architecture and the reliability patterns that keep it stable. Get your free download now and watch your inbox (or spam) for exclusive resources from our team \u2193 First Name Email If you are a human, ignore this field Download Now Meet the Experts Hi there! I'm Louis-Fran\u00e7ois! My AI journey began in 2019 during my systems engineering degree. In 2020, I pursued a Master\u2019s in AI, became Head of AI at a startup, and launched a YouTube channel to teach AI concepts. These experiences revealed a gap between academia and industry, inspiring me to co-found Towards AI in 2022 to bridge that divide. In 2024, I left my PhD in medical AI to focus on building real-world AI solutions. This is why the TAI team of experts and I have identified the essential tech stack for adapting LLMs to a specific use case and achieving a sufficient threshold of accuracy and reliability for scalable use by paying customers. With Towards AI Academy and some key projects in our pipeline, like our full-stack AI engineering course and our book, we aim to help you develop this toolkit. Towards AI Academy Courses We offer self-paced, industry-focused courses for developers, AI engineers, professionals, and companies looking to become AI-first!" + }, + { + "url": "https://academy.towardsai.net/products/digital_downloads/anti-slop-framework", + "host": "academy.towardsai.net", + "path": "/products/digital_downloads/anti-slop-framework", + "kind": "digital_download", + "title": "New Digital Download - Towards AI Academy", + "meta_description": "A prompt framework to make AI writing less sloppy. Includes anti-slop word lists, style rules, structure guidelines, and a two-model revision workflow. Use for any writing: business, marketing, or personal. Works with all LLMs.", + "headings": [ + "Turn AI Writing Into Professional Work Output", + "Three Ways This Changes How You Write", + "Write 10x Faster Without Compromising Quality", + "Eliminate the \"Does This Sound Like AI?\" Anxiety", + "Scale Content Production Without Scaling Your Team", + "At a Glance", + "Ready to Clean Up Your AI Writing?", + "Created by Louis-Fran\u00e7ois Bouchard" + ], + "links": [], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "New Digital Download - Towards AI Academy Digital download Turn AI Writing Into Professional Work Output The most comprehensive Anti-Slop Framework for eliminating AI slop + bonus in-depth video Remove robotic phrases, generic structures, and marketing fluff from emails, reports, and business writing. Copy-paste ready \u2022 Instant PDF download \u2022 Works with all LLMs \ud83d\udce9 Bonus in-depth video delivered to your inbox; check your spam. First Name Email If you are a human, ignore this field Download Now Used by 4000+ professionals generating content at scale Includes 50+ banned AI phrases and style constraints Complete 7-section framework with two-model workflow Three Ways This Changes How You Write Write 10x Faster Without Compromising Quality The prompt framework tells AI exactly how to write, not just what. It defines structure, tone, and vocabulary upfront, so you get professional output immediately. Eliminate the \"Does This Sound Like AI?\" Anxiety 50+ banned phrases plus style constraints block every AI tell: the dramatic adjectives, generic transitions, marketing fluff. Two-model workflow catches what you miss. Scale Content Production Without Scaling Your Team Universal anti-slop rules that work on any content type. You can apply the same framework whether you're writing emails, blog posts, reports, or proposals. At a Glance \u2713 No technical skills needed, just copy-paste. \u2713 Bonus in-depth video sent to your inbox (check spam!). \u2713 Works with ChatGPT, Claude, and all LLMs. \u2713 Complete framework, not just word lists. \u2713 Use all sections or pick what you need. Ready to Clean Up Your AI Writing? Instant PDF download \u2022 Copy-Paste Ready \u2022 5-page prompt framework \ud83d\udce9 We'll also send you what's working for 100,000+ AI practitioners, straight to your inbox. Check spam so you don't miss it. First Name Email If you are a human, ignore this field Get Template Created by Louis-Fran\u00e7ois Bouchard Louis-Fran\u00e7ois is Co-founder and CTO of Towards AI, where they create courses for AI engineers and have taught 100,000+ students. For the past three years, Towards AI has used this exact framework to eliminate AI slop from every piece of content they publish, including course materials, articles, documentation, and student resources." + }, + { + "url": "https://academy.towardsai.net/bundles/get-it-all", + "host": "academy.towardsai.net", + "path": "/bundles/get-it-all", + "kind": "bundle", + "title": "Get it all! From Novice to Expert", + "meta_description": "(For everyone) It is a complete curriculum for ANYONE to learn Python, focusing on working with LLMs and becoming proficient in building with them (with our 10-hour video, business, AI engineering & agent engineering courses).", + "headings": [ + "Towards AI Academy", + "Get it all! 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From Novice to Expert Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Get it all! From Novice to Expert (For everyone) It is a complete curriculum for ANYONE to learn Python, focusing on working with LLMs and becoming proficient in building with them (with our 10-hour video, business, AI engineering & agent engineering courses). Become an AI Expert Bundle includes Here are all the products that are included in your bundle. All Courses, Become an AI Engineer 10-Hours LLM Fundamentals (Video) Course 5.0 average rating (7 reviews) Transform your ideas into AI-powered solutions. Master LLMs from prompts to deployment with essential skills and insights needed for production-ready applications. $199 All Courses, Become an AI Engineer Beginner Python for AI Engineering Course 5.0 average rating (4 reviews) (For everyone) A Python course for the LLM era! 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Our refund policy If, after completing the first part (part 1), you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/courses/buildingllmsforproduction", + "host": "academy.towardsai.net", + "path": "/courses/buildingllmsforproduction", + "kind": "course", + "title": "Building LLMs for Production", + "meta_description": "This book explores various methods to adapt \"foundational\" LLMs to specific tasks with enhanced accuracy, reliability, and scalability. It tackles the lack of reliability of \u201cout of the box\u201d LLMs by teaching the AI developer tech stack of the future: Prompting, Fine-Tuning, RAG, and Tools Use.", + "headings": [ + "Towards AI Academy", + "Our Building LLMs for Production Ebook", + "What's Inside this 470-page Book (Updated October 2024)?", + "Industry Leaders on the Book", + "Chapter Overview", + "About the Book", + "Introduction", + "Chapter I: Introduction to LLMs", + "Chapter II: LLM Architectures and Landscape", + "Chapter III: LLMs in Practice", + "Chapter IV: Introduction to Prompting", + "Chapter V: Retrieval-Augmented Generation", + "Chapter VI: Introduction to LangChain & LlamaIndex", + "Chapter VII: Prompting with LangChain", + "Chapter VIII: Indexes, Retrievers, and Data Preparation", + "Chapter IX: Advanced RAG", + "Chapter X: Agents", + "Chapter XI: Fine-Tuning", + "Chapter XII: Deployment and Optimization", + "Conclusion", + "Who is it for?", + "What Our Readers Say", + "I'm learning lots", + "Well worth a read", + "A Practical Guide to Building LLMs", + "A very good read on Large language models", + "Outstanding Book useful for both LLM Industry, academic and private projects", + "Best one that accumulates all knowledge", + "Top-notch book for getting into building LLM apps", + "excelent book highly recommended", + "Excellent course for beginners and Experienced persons", + "Simply a must-read", + "Best book on the topic", + "Brilliant book", + "The Only AI Engineering Toolkit You Need!", + "Everything the Book Covers", + "LLM Fundamentals, Architecture, & LLMs in Practice", + "Prompting & Frameworks", + "RAG & Fine-Tuning", + "Agents, Optimization & Deployment", + "Why Should You Read This Book?", + "Future-Proof Skills", + "Scalable Solutions", + "Practical Expertise for Everyone", + "The Only AI Engineering Toolkit You Need!", + "More Towards AI's Book Readers' Reviews", + "Comprehensive Coverage and Practical", + "Simply a must-read", + "Best book on the topic", + "FAQ" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/courses/buildingllmsforproduction" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3147339" + }, + { + "text": "Unlock Lifetime Access for $29 (With all future updates)", + "url": "https://academy.towardsai.net/cart/add_product/3147339?price_id=4025407" + }, + { + "text": "Table of Contents FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147339?et=free_trial" + }, + { + "text": "About The Book FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147339?et=free_trial" + }, + { + "text": "Introduction FREE PREVIEW", + "url": "https://academy.towardsai.net/enroll/3147339?et=free_trial" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/courses/buildingllmsforproduction" + }, + { + "text": "Read More", + "url": "https://academy.towardsai.net/courses/buildingllmsforproduction" + }, + { + "text": "Get Your Copy Now!", + "url": "https://academy.towardsai.net/enroll/3147339" + }, + { + "text": "Watch Intro Video", + "url": "https://youtu.be/5gaEXRitiBc" + }, + { + "text": "Start Reading!", + "url": "https://academy.towardsai.net/cart/add_product/3147339?price_id=4025407" + }, + { + "text": "NEW Agentic AI Engineering Guide", + "url": "https://email-course.towardsai.net/?utm_source=academyheader&utm_medium=banner&utm_campaign=2026_visitors_nostart_signup_glb&utm_id=freeemailcourse" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Building LLMs for Production Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Our Building LLMs for Production Ebook Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG Unlock Lifetime Access for $29 (With all future updates) What's Inside this 470-page Book (Updated October 2024)? Please note: this e-book is an interactive resource, not a downloadable PDF. Hands-on Guide on LLMs, Prompting, Retrieval Augmented Generation (RAG) & Fine-tuning Roadmap for Building Production-Ready Applications using LLMs Fundamentals of LLM Theory Simple-to-Advanced LLM Techniques & Frameworks Code Projects with Real-World Applications Colab Notebooks that you can run right away Community access and our own AI Tutor Industry Leaders on the Book \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.\u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cAn indispensable guide for anyone venturing into the world of large language models...Covering everything from theory to practical deployment, it\u2019s a must-have in the library of every aspiring and seasoned AI professional.\u201d Shashank Kalanithi, Data Engineer at Meta \u201cIt contains thorough explanations and code for you to start using and deploying LLMs, as well as optimizing their performance. Very highly recommended!\u201d Luis Serrano, PhD, Founder of Serrano.Academy and author of Grokking Machine Learning \u201cIt covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila \u201c\u201d Chapter Overview About the Book Table of Contents FREE PREVIEW About The Book FREE PREVIEW Introduction Introduction FREE PREVIEW Why Prompt Engineering, Fine-Tuning, and RAG? Coding Environment and Packages Chapter I: Introduction to LLMs A Brief History of Language Models What are Large Language Models? Building Blocks of LLMs Tutorial: Translation with LLMs (GPT-3.5 API) Tutorial: Control LLMs Output with Few-Shot Learning Recap Chapter II: LLM Architectures and Landscape Understanding Transformers Transformer Model\u2019s Design Choices Transformer Architecture Optimization Techniques The Generative Pre-trained Transformer (GPT) Architecture Introduction to Large Multimodal Models Proprietary vs. Open Models vs. Open-Source Language Models Applications and Use-Cases of LLMs Recap Chapter III: LLMs in Practice Understanding Hallucinations and Bias Reducing Hallucinations by Controlling LLM Outputs Evaluating LLM Performance Recap Chapter IV: Introduction to Prompting Prompting and Prompt Engineering Prompting Techniques Prompt Injection and Security Recap Chapter V: Retrieval-Augmented Generation Why RAG? Building a Basic RAG Pipeline from Scratch Recap Chapter VI: Introduction to LangChain & LlamaIndex LLM Frameworks LangChain Introduction Tutorial 1: Building LLM-Powered Applications with LangChain Tutorial 2: Building a News Articles Summarizer LlamaIndex Introduction LangChain vs. LlamaIndex vs. OpenAI Assistants Recap Chapter VII: Prompting with LangChain What are LangChain Prompt Templates Few-Shot Prompts and Example Selectors What are LangChain Chains Tutorial 1: Managing Outputs with Output Parsers Tutorial 2: Improving Our News Articles Summarizer Tutorial 3: Creating Knowledge Graphs from Textual Data: Finding Hidden Connections Recap Chapter VIII: Indexes, Retrievers, and Data Preparation LangChain\u2019s Indexes and Retrievers Data Ingestion Text Splitters Similarity Search and Vector Embeddings Tutorial 1: A Customer Support Q&A Chatbot Tutorial 2: A YouTube Video Summarizer Using Whisper and LangChain Tutorial 3: A Voice Assistant for Your Knowledge Base Tutorial 4: Preventing Undesirable Outputs with the Self-Critique Chain Tutorial 5: Preventing Undesirable Outputs from a Customer Service Chatbot Recap Chapter IX: Advanced RAG From Proof of Concept to Product: Challenges of RAG Systems Advanced RAG Techniques with LlamaIndex RAG - Metrics & Evaluation LangChain LangSmith and LangChain Hub Recap Chapter X: Agents What are Agents: Large Models as Reasoning Engines An Overview of AutoGPT and BabyAGI The Agent Simulation Projects in LangChain Tutorial 1: Building Agents for Analysis Report Creation Tutorial 2: Query and Summarize a DB with LlamaIndex Tutorial 3: Building Agents with OpenAI Assistants Tutorial 4: LangChain OpenGPT Tutorial 5: Multimodal Financial Document Analysis from PDFs Recap Chapter XI: Fine-Tuning Understanding Fine-Tuning Low-Rank Adaptation (LoRA) Tutorial 1: SFT with LoRA Tutorial 2: Using SFT and LoRA for Financial Sentiment Tutorial 3: Fine-Tuning a Cohere LLM with Medical Data Reinforcement Learning from Human Feedback Tutorial 4: Improving LLMs with RLHF Recap Chapter XII: Deployment and Optimization Model Distillation and Teacher-Student Models LLM Deployment Optimization: Quantization, Pruning, and Speculative Decoding Tutorial: Deploying a Quantized LLM on a CPU on Google Cloud Platform (GCP) Deploying Open-Source LLMs on Cloud Providers Recap Conclusion Conclusion Further Reading and Courses AI Tutor - Ask any question! Show more Who is it for? $29.99 AI Practitioners & Programmers Tinkerers AI/ML Engineers & Computer Science Professionals Students/Researchers & Job Seekers What Our Readers Say 5 star rating I'm learning lots Mark Chase The concepts are clearly explained, and the sample code really helps reinforce the material. I now need to develop a project and put this all together. The concepts are clearly explained, and the sample code really helps reinforce the material. I now need to develop a project and put this all together. Read Less 4 star rating Well worth a read Frederick Zhang If you have aspirations to dive into the world of generative artificial intelligence (GenAI) and large language models (LLMs), you could definitely do worse than starting with this book. As the title implies, it is focused on building and thus rel... Read More If you have aspirations to dive into the world of generative artificial intelligence (GenAI) and large language models (LLMs), you could definitely do worse than starting with this book. As the title implies, it is focused on building and thus relatively light on theory. It teaches you what you need to know behind the scenes but not much more than that. For instance, there is almost no math. The tutorials and code samples are the highlight of the book, as they exemplify how the literature is actually put into practice. As with any field, the more knowledge you already possess coming into this book, the less value you will find in reading it. However, everyone should find something worthwhile. One area of this book I feel could really be improved upon is the section on deployment. Running a GenAI app locally on your laptop is a very different game from running it in production in terms of scalability. An app that runs smoothly for ten users will incur previously unseen issues when deployed for ten thousand and will incur even more issues for ten million. Scaling, debugging and troubleshooting in production deserve more attention than is given in this book for it to maximize its value for professional AI engineers. Overall, it is well worth a thorough reading and should prove to be of aid to your career if you wish to step into this field. Read Less 5 star rating A Practical Guide to Building LLMs Brian Langrin \"Building LLMs for Production\" is an invaluable guide for anyone looking to deploy large language models efficiently and effectively. What sets this book apart is its all-in-one approach, covering everything from model architecture and optimizatio... Read More \"Building LLMs for Production\" is an invaluable guide for anyone looking to deploy large language models efficiently and effectively. What sets this book apart is its all-in-one approach, covering everything from model architecture and optimization to scaling and deployment\u2014all in a clear, accessible format that both beginners and experts can appreciate. The authors take a truly user-centric perspective, ensuring that practical implementation remains front and center. Whether you're integrating LLMs into existing workflows or building from scratch, this book simplifies complex concepts while maintaining technical depth. For developers and AI practitioners looking for a comprehensive, no-fluff resource, \"Building LLMs for Production\" is the go-to playbook for modern AI deployment. Highly recommended!\" Read Less 5 star rating A very good read on Large language models Jamshaid Sohail I am super excited to recommend this book to everyone. Written in a very excellent manner and covering all the essential details and concepts in the world of large language models. The complex and difficult concepts are easily graspable and the te... Read More I am super excited to recommend this book to everyone. Written in a very excellent manner and covering all the essential details and concepts in the world of large language models. The complex and difficult concepts are easily graspable and the text is fully focused and coherent. Highly recommended book for academia as well as industry people. Read Less 5 star rating Outstanding Book useful for both LLM Industry, academic and private projects James Odendal I recently read Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG, and I couldn\u2019t be more satisfied with the insights and practical knowledge it provided. As someone involved in building rob... Read More I recently read Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG, and I couldn\u2019t be more satisfied with the insights and practical knowledge it provided. As someone involved in building robust AI-driven solutions, I found this book incredibly useful. It breaks down complex concepts like prompting strategies, fine-tuning techniques, and Retrieval-Augmented Generation (RAG) into manageable, actionable steps. The explanations are clear, and the examples are practical and relevant to real-world applications. This book is a must-have for anyone looking to take their LLMs from experimental stages to reliable, production-ready tools. Highly recommended! Read Less 5 star rating Best one that accumulates all knowledge Abhijit L Read Less 5 star rating Top-notch book for getting into building LLM apps Paul Iusztin If you are interested in building AI apps, this book serves as a fantastic icebreaker, being one of the few within the AI space worth your time and money. If you are interested in building AI apps, this book serves as a fantastic icebreaker, being one of the few within the AI space worth your time and money. Read Less 5 star rating excelent book highly recommended Roberto Pardo nice balance between intuitive explanations and code nice balance between intuitive explanations and code Read Less 5 star rating Excellent course for beginners and Experienced persons Vinay Gupta This is an excellent book and I would like to recommend this book to everyone. I was having little idea about how to build an application and plan for production deployment but after going through this book , I came across the various techniques t... Read More This is an excellent book and I would like to recommend this book to everyone. I was having little idea about how to build an application and plan for production deployment but after going through this book , I came across the various techniques to take into account to develop application and its deployment aspects. This book is worth every penny. Read Less 5 star rating Simply a must-read Eugenio Galioto The second version of this book can easily be considered a must-read as well as the first version. It's great to have key and evolving concepts explained like this! The second version of this book can easily be considered a must-read as well as the first version. It's great to have key and evolving concepts explained like this! Read Less 5 star rating Best book on the topic Hiroto Matsushima The GO-TO guy about AI and LLM The GO-TO guy about AI and LLM Read Less 5 star rating Brilliant book soumen nayak Covers every aspect of a broad range of topics. Covers every aspect of a broad range of topics. Read Less The Only AI Engineering Toolkit You Need! To build scalable and reliable products with LLMs Get Your Copy Now! Everything the Book Covers Watch Intro Video LLM Fundamentals, Architecture, & LLMs in Practice Foundations Building blocks of LLMs: language modeling, tokenization, embeddings, emergent abilities, scaling laws, context size\u2026 Transformer Architecture: attention mechanism, design choices, encoder-only transformers, decoder-only transformers, encoder-decoder transformers, GPT Architecture, Masked Self-Attention, MinGPT LLMs in Practice Hallucinations & Biases: Mitigation strategies, controlling LLM outputs Decoding methods: greedy search, sampling, beam search, top-k sampling, top-p sampling Objective functions and evaluation metrics: perplexity metric and GLUE, SuperGLUE, BIG-Bench, HELM, FLASK Benchmarks\u2026 Prompting & Frameworks Prompting Prompting techniques: zero-shot, in context, few-shot, role, chains, and chain-of-thought\u2026 Prompt Injection and Prompt Hacking Frameworks LangChain: prompt templates, output parsers, summarization chain, QA chains LlamaIndex: vector stores, embeddings, data connectors, nodes, indexes RAG & Fine-Tuning Retrieval-Augmented Generation Components Data Ingestion(PDFs, web pages, Google Drive), text splitters, LangChain Chains Embeddings, Vector Stores with Activeloop's Deep Lake Querying in LlamaIndex: query construction, expansion, transformation, splitting, customizing a retriever engine\u2026 Reranking Documents: recursive, small-to-big RAG Metrics: Mean Reciprocal Rank (MRR), Hit Rate, Mean Average Precision (MAP), and Normalized Discounted Cumulative Gain (NDCG)... Evaluation Tools: evaluating with ragas, custom evaluation of RAG pipelines Fine-Tuning Optimization Techniques LoRA, QLoRA, supervised fine-tuning, SFT RLHF Agents, Optimization & Deployment Agents Using AutoGPT & BabyAGI with LangChain Agent Simulation Project: CAMEL, Generative Agents Building Agents, LangGPT, OpenAI Assistants Optimization & Deployment Challenges, quantization, pruning, distillation, cloud deployment, CPU and GPU optimization & deployment, creating APIs from open-source LLMs Why Should You Read This Book? Future-Proof Skills This book explores various methods to adapt \"foundational\" LLMs to specific tasks with enhanced accuracy, reliability, and scalability. It tackles the lack of reliability of \u201cout of the box\u201d LLMs by teaching the AI developer tech stack of the future; Prompting, Fine-Tuning, RAG, and Tools Use. Scalable Solutions The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It breaks down techniques that are scalable for enterprise-level workflows, helping both independent developers and small companies with limited resources create AI products that deliver value to paying customers. Practical Expertise for Everyone The book is for anyone who wants to build LLM products that can serve real use cases today. It comes with access to our webpage where we also share lots of additional up-to-date content, code, notebooks, and resources. However, the coding parts of the book is tailored for readers with an intermediate knowledge of Python. The Only AI Engineering Toolkit You Need! Start Reading! More Towards AI's Book Readers' Reviews 5 star rating Comprehensive Coverage and Practical Priyankar Kumar The book has great coverage of nearly all the important topics related to LLMs and application-building with LLMs. I also liked the focus on the hands-on projects, so that you are not just reading but also trying things out. The book has great coverage of nearly all the important topics related to LLMs and application-building with LLMs. I also liked the focus on the hands-on projects, so that you are not just reading but also trying things out. Read Less 5 star rating Simply a must-read Eugenio Galioto The second version of this book can easily be considered a must-read as well as the first version. It's great to have key and evolving concepts explained like this! The second version of this book can easily be considered a must-read as well as the first version. It's great to have key and evolving concepts explained like this! Read Less 5 star rating Best book on the topic Hiroto Matsushima The GO-TO guy about AI and LLM The GO-TO guy about AI and LLM Read Less FAQ What skills do I learn? The book is packed with theories, concepts, projects, applications, and experience that you can confidently put on your CVs. You can add these skills straight into your resume: Large Language Models (LLMs) | LangChain | LlamaIndex | Vector databases | RAG | Prompting | Fine-tuning | Agents | Deployment & Deployment Optimizations | Creating chatbots | Chat with PDFs | Summarization | AI Assistants | RLHF What are the prerequisites to read the book? The is written for readers without prior knowledge of AI or NLP. It introduces topics from the ground up, aiming to help you feel comfortable using the power of AI in your next project or to elevate your current project to the next level. A basic understanding of Python helps comprehend the code and implementations, while advanced use cases of the coding techniques are explained in detail in the course. How do we make sure the book is not outdated? We ensure the book remains relevant by focusing on the core principles of building production products with LLMs, which are foundational and transferable across generations of models. While the field is fast-evolving and new techniques will emerge, today's LLM developer stack will still be crucial for adapting future models to specific industries and data. Additionally, we provide access to an up-to-date webpage with extra content, code, notebooks, and resources, ensuring readers stay current with the latest advancements. Does it come with a physical copy? No. This e-book version is hosted on the platform (not a pdf). You can purchase a soft or hard copy of the book on Amazon (https://amzn.to/4bqYU9b). If you have a physical copy, email Louis-Fran\u00e7ois at [email protected] , and we'd be happy to give you a discount on the e-book! Do you have a referral or affiliate program? If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/bundles/10-hour-crash-course-into-llm-developer-expert", + "host": "academy.towardsai.net", + "path": "/bundles/10-hour-crash-course-into-llm-developer-expert", + "kind": "bundle", + "title": "From Developer to Advanced AI Engineer", + "meta_description": "(For developers) to become an expert LLM developer. Start with our 10-hour boot camp and follow up with our 60-hour beginner to advanced LLM Developer course for tons of insights, practice, guidance, and a valuable final project.", + "headings": [ + "Towards AI Academy", + "Your Roadmap to Becoming a Senior AI Engineer", + "Bundle Includes", + "Full Stack AI Engineering", + "Agent Engineering: Building Multi-Agent Systems", + "Building LLMs for Production", + "10-Hours LLM Fundamentals (Video)", + "Start with the essentials and graduate to building advanced AI systems", + "10-Hour LLM Fundamentals + Full Stack AI Engineering Course", + "This is where theory meets practice\u2014and where learners become experts!", + "Risk-Free Learning: 30-Day Money-Back Guarantee", + "FAQ" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/bundles/10-hour-crash-course-into-llm-developer-expert" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3251186" + }, + { + "text": "Show Me the Full Path to AI Mastery", + "url": "https://academy.towardsai.net/cart/add_product/3251186?price_id=4144792" + }, + { + "text": "All Courses, Become an AI Engineer Full Stack AI Engineering Course 5.0 average rating (43 reviews) (Python requirement)", + "url": "https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev" + }, + { + "text": "All Courses, Become an AI Engineer Agent Engineering: Building Multi-Agent Systems Course 5.0 average rating (26 reviews", + "url": "https://academy.towardsai.net/courses/agent-engineering" + }, + { + "text": "All Courses, Become an AI Engineer Building LLMs for Production Course 5.0 average rating (26 reviews) (Python requireme", + "url": "https://academy.towardsai.net/courses/buildingllmsforproduction" + }, + { + "text": "All Courses, Become an AI Engineer 10-Hours LLM Fundamentals (Video) Course 5.0 average rating (7 reviews) Transform you", + "url": "https://academy.towardsai.net/courses/llm-primer" + }, + { + "text": "Get it for $1078 $948!", + "url": "https://academy.towardsai.net/cart/add_product/3251186?price_id=4144792" + }, + { + "text": "Find more information on the courses here!", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Start Risk Free", + "url": "https://academy.towardsai.net/cart/add_product/3251186?price_id=4144792" + }, + { + "text": "NEW Agentic AI Engineering Guide", + "url": "https://email-course.towardsai.net/?utm_source=academyheader&utm_medium=banner&utm_campaign=2026_visitors_nostart_signup_glb&utm_id=freeemailcourse" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "From Developer to Advanced AI Engineer Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Your Roadmap to Becoming a Senior AI Engineer Three transformative courses and our e-book. One unbeatable bundle. Show Me the Full Path to AI Mastery Bundle Includes Here are all the products that are included in your bundle. All Courses, Become an AI Engineer Full Stack AI Engineering Course 5.0 average rating (43 reviews) (Python requirement) Build a working full-stack advanced LLM product and master the skills companies need. Learn Context Engineering (Prompting, RAG, Data Collection), Fine-Tuning, Agents, Deployment and more! $349 All Courses, Become an AI Engineer Agent Engineering: Building Multi-Agent Systems Course 5.0 average rating (26 reviews) This course is for computer science students, ML engineers, and full-stack developers tasked with integrating autonomous features. You'll leave fully prepared to design, build, evaluate, and deploy sophisticated, production-grade AI agents. $499 All Courses, Become an AI Engineer Building LLMs for Production Course 5.0 average rating (26 reviews) (Python requirement) This book breaks down techniques that are scalable for enterprise-level workflows, helping both independent developers and small companies with limited resources create sellable AI products. $29.99 All Courses, Become an AI Engineer 10-Hours LLM Fundamentals (Video) Course 5.0 average rating (7 reviews) Transform your ideas into AI-powered solutions. Master LLMs from prompts to deployment with essential skills and insights needed for production-ready applications. $199 Start with the essentials and graduate to building advanced AI systems Get it for $1078 $948! 10-Hour LLM Fundamentals + Full Stack AI Engineering Course How these courses work together 10-HOUR LLM FUNDAMENTALS BUILDING LLMS FOR PRODUCTION FULL STACK AI ENGINEERING Start working with leading AI models like Open AI, Gemini, Claude Learn timeless principles for implementing advanced LLM techniques Build advanced products and pipelines on top of them Adopt customization, databases, retrieval, frameworks, fine-tuning, evaluations, and more into your daily workflows Study code logic for Prompting, RAG, Fine-Tuning, Agents, Tools Production-ready code-based implementation of RAG, Fine-Tuning, Agents, Tools Five 2-hour sessions to teach you how to move from a basic prompt to a full production rollout Grasp LLM deployment and optimization strategies Master by building advanced AI Project Find more information on the courses here! This is where theory meets practice\u2014and where learners become experts! Perfect for any developer to become an expert LLM developer! Dive into the world of LLMs with our 10-hour primer, follow up with our e-book to learn timeless LLM principles, and master production with our 60-hour full stack AI engineering course. Combined, these resources include tons of insights, essentials, practice, guidance, and a valuable portfolio project. Risk-Free Learning: 30-Day Money-Back Guarantee We curate every course with a practical-first approach, but we also know that learning is personal. If you find that a course isn\u2019t the right fit, just let us know within 30 days\u2014we\u2019ll make it right with a full refund. No hard feelings. Start Risk Free FAQ Is this course paid? Yes Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. When were these courses created? Is it still up to date? The courses were originally launched in 2025, but we update them every single week with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course\u2014you\u2019re getting a living resource designed to keep you ahead. Do you have a referral or affiliate program? For every referral you provide, you\u2019ll gain access to our exclusive eBook. If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Our refund policy If, after completing the first part (part 1), you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/bundles/from-coding-novice-to-advanced-llm-developer", + "host": "academy.towardsai.net", + "path": "/bundles/from-coding-novice-to-advanced-llm-developer", + "kind": "bundle", + "title": "From Non-Coder to AI Engineer", + "meta_description": "(For everyone) This bundle combines our Python introduction, 10-hour video and LLM developer courses to create a complete curriculum for ANYONE to learn Python based on working with LLMs and becoming proficient with LLMs leveraging Python.", + "headings": [ + "Towards AI Academy", + "Go From Zero to a Certified LLM Developer", + "A complete hands-on roadmap to learning Python, mastering LLMs of today, and creating scalable LLM applications.", + "Can Three Courses Make Me an LLM Developer?", + "The AI Skills Companies Need", + "Beginner Python for AI Engineering", + "10-Hours LLM Fundamentals (Video)", + "Full Stack AI Engineering", + "Building LLMs for Production", + "Risk-Free Learning: 30-Day Money-Back Guarantee", + "Can anyone become an LLM developer?", + "Master Python & LLM fundamentals and advance to full-stack LLM development", + "Python Essentials + 10-Hour LLM Primer +Advanced AI Engineering Course", + "The AI Skills You Need\u2014Without Wasting Time on the Wrong Path", + "FAQ" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/bundles/from-coding-novice-to-advanced-llm-developer" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Enroll now", + "url": "https://academy.towardsai.net/enroll/3262189" + }, + { + "text": "Get it for $727 $599!", + "url": "https://academy.towardsai.net/cart/add_product/3262189?price_id=4157308" + }, + { + "text": "Become an LLM Product Pro", + "url": "https://academy.towardsai.net/cart/add_product/3262189?price_id=4157308" + }, + { + "text": "All Courses, Become an AI Engineer Beginner Python for AI Engineering Course 5.0 average rating (4 reviews) (For everyon", + "url": "https://academy.towardsai.net/courses/python-for-genai" + }, + { + "text": "All Courses, Become an AI Engineer 10-Hours LLM Fundamentals (Video) Course 5.0 average rating (7 reviews) Transform you", + "url": "https://academy.towardsai.net/courses/llm-primer" + }, + { + "text": "All Courses, Become an AI Engineer Full Stack AI Engineering Course 5.0 average rating (43 reviews) (Python requirement)", + "url": "https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev" + }, + { + "text": "All Courses, Become an AI Engineer Building LLMs for Production Course 5.0 average rating (26 reviews) (Python requireme", + "url": "https://academy.towardsai.net/courses/buildingllmsforproduction" + }, + { + "text": "Start Risk Free", + "url": "https://academy.towardsai.net/cart/add_product/3262189?price_id=4157308" + }, + { + "text": "Find more information on the courses here!", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Grab Your AI Roadmap Right Away", + "url": "https://academy.towardsai.net/cart/add_product/3262189?price_id=4157308" + }, + { + "text": "NEW Agentic AI Engineering Guide", + "url": "https://email-course.towardsai.net/?utm_source=academyheader&utm_medium=banner&utm_campaign=2026_visitors_nostart_signup_glb&utm_id=freeemailcourse" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "From Non-Coder to AI Engineer Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Enroll now Go From Zero to a Certified LLM Developer Three transformative courses and our e-book. One unbeatable bundle. Get it for $727 $599! Watch Intro Video A complete hands-on roadmap to learning Python, mastering LLMs of today, and creating scalable LLM applications. Become an LLM Product Pro Can Three Courses Make Me an LLM Developer? Most AI courses throw information at you\u2014we make sure you actually learn how to think, adapt, and build like an AI engineer. Learn Python specifically for AI development: No fluff, just the essentials to start working with LLMs and building AI-driven solutions. Set yourself up for long-term success: You won\u2019t master AI overnight, but you\u2019ll gain the frameworks, workflows, and best practices to build, iterate, and scale real-world applications. Lead AI innovation in your organization: Learn how to experiment effectively, optimize workflows, and deploy AI-powered solutions that create real impact. Stay ahead in a rapidly changing field: AI is evolving fast, and this bundle teaches you how to stay adaptable, keep learning, and apply your skills to new challenges. Turn AI skills into career opportunities: Whether you want to land a high-impact AI role, automate your own workflows, or launch AI-powered products, this bundle gives you the tools to make it happen. The AI Skills Companies Need Master Python, learn production-ready AI techniques, and build scalable LLM-powered applications\u2014all in one bundle. All Courses, Become an AI Engineer Beginner Python for AI Engineering Course 5.0 average rating (4 reviews) (For everyone) A Python course for the LLM era! Build a foundation for developing your own LLM apps with Python, covering API integration, open-source model usage, fundamental training/testing skills, and more. $149 All Courses, Become an AI Engineer 10-Hours LLM Fundamentals (Video) Course 5.0 average rating (7 reviews) Transform your ideas into AI-powered solutions. Master LLMs from prompts to deployment with essential skills and insights needed for production-ready applications. $199 All Courses, Become an AI Engineer Full Stack AI Engineering Course 5.0 average rating (43 reviews) (Python requirement) Build a working full-stack advanced LLM product and master the skills companies need. Learn Context Engineering (Prompting, RAG, Data Collection), Fine-Tuning, Agents, Deployment and more! $349 All Courses, Become an AI Engineer Building LLMs for Production Course 5.0 average rating (26 reviews) (Python requirement) This book breaks down techniques that are scalable for enterprise-level workflows, helping both independent developers and small companies with limited resources create sellable AI products. $29.99 Risk-Free Learning: 30-Day Money-Back Guarantee We curate every course with a practical-first approach, but we also know that learning is personal. If you find that a course isn\u2019t the right fit, just let us know within 30 days\u2014we\u2019ll make it right with a full refund. No hard feelings. Start Risk Free Can anyone become an LLM developer? Yes, the best time to start was yesterday. The second-best time is today. \u201cI don\u2019t have years to learn AI.\u201d \u2192 You don\u2019t need years. With our structured, hands-on approach, you\u2019ll go from zero to building real AI applications in months, not years. \u201cI\u2019m not a software engineer\u2014can I still do this?\u201d \u2192 Yes! We break down Python, AI fundamentals, and LLMs step by step, so you can start building even if you\u2019re new to coding. \u201cCan I just use AI tools in my company, why build them?\u201d \u2192 AI tools can\u2019t always do what you need\u2014but with Python and LLM development, you\u2019ll create custom AI-powered solutions that actually fit your and your companies needs. \u201cAI moves too fast\u2014won\u2019t my skills become outdated?\u201d \u2192 We don\u2019t just teach you what\u2019s trending\u2014we teach foundational AI principles that stand the test of time. Plus, you\u2019ll learn how to adapt and stay ahead as AI evolves. \u201cWhat if I don\u2019t know where to start?\u201d \u2192 That\u2019s exactly why this bundle exists\u2014no more piecing together random tutorials. This is a clear, structured roadmap from Python to full-scale LLM applications. Master Python & LLM fundamentals and advance to full-stack LLM development Unlock the path to landing your dream LLM job with Python essentials, a future-proof production toolkit, and scalable deployment strategies! Get it for $727 $599! Python Essentials + 10-Hour LLM Primer +Advanced AI Engineering Course How these courses work together PYTHON COURSE BUILDING LLMS FOR PRODUCTION 10-HOUR LLM PRIMER AI ENGINEERING COURSE Python with a build-first approach. Timeless LLM principles Work with leading AI models Advanced products & pipelines Simple 'Python for LLMs' code projects Prompting, RAG, Fine-Tuning, Agents, Tools Adopt customization, databases, retrieval, frameworks, fine-tuning, evaluations Production-ready implementation Faster coding with AI-powered assistants LLM deployment optimization Five 2-hour sessions to move from a basic prompt to a full production rollout Advanced MVP for LLM Product Find more information on the courses here! The AI Skills You Need\u2014Without Wasting Time on the Wrong Path You don\u2019t need endless courses\u2014just a right bundle. If you\u2019ve been wanting to break into AI but didn\u2019t know where to start, this is your roadmap. This bundle is designed to take absolute beginners to confidently building enterprise workflows and LLM applications\u2014without getting lost in fragmented courses or theory-heavy tutorials. Grab Your AI Roadmap Right Away FAQ Is this course paid? Yes Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. When were these courses created? Is it still up to date? The courses were originally launched in 2025, but we update them every single week with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course\u2014you\u2019re getting a living resource designed to keep you ahead. Do you have a referral or affiliate program? For every referral you provide, you\u2019ll gain access to our exclusive eBook. If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Our refund policy If, after completing the first part (part 1), you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. NEW Agentic AI Engineering Guide : The 6 mistakes breaking production agents and how to fix them. A free 6-day email course. 3+ years of production experience distilled into actionable lessons. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/pages/agent-course-landing-page", + "host": "academy.towardsai.net", + "path": "/pages/agent-course-landing-page", + "kind": "page", + "title": "Agent Course Landing Page", + "meta_description": "", + "headings": [ + "Towards AI Academy", + "Your Path to Agentic AI for Production", + "What Early Course Takers Are Saying", + "Great value for agentic knowledge", + "An excellent course on Agentic Engineering", + "Great course", + "AMAZING CONTENT", + "Hands-On, Industry-Centered, Production-Ready Course", + "Amazing Course", + "To Agent or Not to Agent?", + "Agents Work Locally, Break in Production", + "Not Sure When Agents Are Worth It", + "Skills Get Outdated Fast", + "What You'll Build", + "Foundations from Scratch", + "Foundations from Scratch", + "An Autonomous Research Agent", + "An Autonomous Research Agent", + "Deterministic Writing Workflow", + "Deterministic Writing Workflow", + "Agent Architecture and Production Stack", + "Agent Architecture and Production Stack", + "Learn the Discipline that Turns LLM Calls into Reliable Multi-Agent Systems", + "Must Have course to learn Agentic AI Engineering", + "Complicated topic presented very well", + "Practical Minimum Viable Learning Path", + "An excellent course on Agentic Engineering", + "A Practical, Production-Grade Guide to Agentic Engineering", + "Best Resource on Agentic AI", + "TLDR Foundations to Agent AI Eng", + "Course Curriculum", + "Risk-Free Learning: 30-Day Money-Back Guarantee", + "How It Works", + "Who This Course Is For", + "Build Your First Agent This Week", + "Brought to you by", + "FAQ", + "Build 'Truly' Autonomous Features for Your Workflows, Company, and Product", + "What You'll Build", + "Pure Foundations", + "Pure Foundations", + "Four Mini Projects", + "Four Mini Projects", + "An Autonomous Research Agent", + "An Autonomous Research Agent", + "Deterministic Writing Workflow", + "Deterministic Writing Workflow", + "Multi-Agent Integration", + "Multi-Agent Integration", + "Production Stack", + "Production Stack" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/pages/agent-course-landing-page" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Unlock Lifetime Access (Early-bird pricing)", + "url": "https://academy.towardsai.net/cart/add_product/3406924?price_id=4319175" + }, + { + "text": "Watch Intro Video", + "url": "https://youtu.be/Y5_NMQgV0Z8" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/pages/agent-course-landing-page" + }, + { + "text": "Read More", + "url": "https://academy.towardsai.net/pages/agent-course-landing-page" + }, + { + "text": "Watch Intro Video", + "url": "https://youtu.be/tm1P-cEg6e4" + }, + { + "text": "Unlock Free Preview", + "url": "https://academy.towardsai.net/pages/free-lesson-offer-2" + }, + { + "text": "Start Risk-Free", + "url": "https://academy.towardsai.net/cart/add_product/3406924?price_id=4319175" + }, + { + "text": "Enroll Now", + "url": "https://academy.towardsai.net/cart/add_product/3406924?price_id=4319175" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Agent Course Landing Page Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Your Path to Agentic AI for Production Become an Agentic AI Engineer who designs production-ready systems and leave with an AI agent portfolio that proves it. Unlock Lifetime Access (Early-bird pricing) Watch Intro Video What Early Course Takers Are Saying 5 star rating Great value for agentic knowledge Victor Palomares This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! Read Less 5 star rating An excellent course on Agentic Engineering Luong Nguyen Dinh This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning... Read More This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning from mistakes. Thank the team for creating such a valuable course! Read Less 5 star rating Great course Ahmed Medhat Every AI Engineer needs course like that. Every AI Engineer needs course like that. Read Less 5 star rating AMAZING CONTENT Shadrack Darku This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course Read Less 5 star rating Hands-On, Industry-Centered, Production-Ready Course Abreham melese Booobnb The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. Read Less 5 star rating Amazing Course Nelson Pullella Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. adem\u00e1s se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluaci\u00f3n de los agentes, cosa q es muy ... Read More Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. adem\u00e1s se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluaci\u00f3n de los agentes, cosa q es muy importante. Read Less To Agent or Not to Agent? Most developers get stuck in three places when building agents. We teach you to navigate all three. Agents Work Locally, Break in Production Build two production agents, fully deployed Build Research Agent and Writing Workflow with full evaluation systems, observability, and deployment pipelines . These are production templates you can adapt for market research, content & report generation, diagrams, documentation, or any domain where autonomous intelligence and automations with agentic patterns add value. Not Sure When Agents Are Worth It Master the decision framework Learn to design workflows that stay maintainable as requirements evolve. Master when to use deterministic routing versus agent autonomy , when to keep humans in the loop , and the patterns that scale from prototype to production . Skills Get Outdated Fast Build mental models, not framework knowledge We teach system design fundamentals from scratch, not just today's frameworks. Graduate with two deployable agents, certification , and the engineering judgment to architect any AI system, regardless of which tools are trending next. What You'll Build You implement every technique in pure Python: notebooks first for speed, then production code you ship from your own repo. Notebooks let you isolate, run, and inspect one idea at a time. Every piece moves into the deployed system. Foundations from Scratch Learn foundational agent techniques through 11 hands-on builds. You'll implement: Structured Outputs \u2013 Pydantic schemas, JSON extraction, native Gemini integration; build a document metadata extractor Context Engineering \u2013 state management, context selection, compression, caching, and the lost-in-the-middle problem Workflow Patterns \u2013 implement chaining, routing, and parallelization patterns by hand Function Calling \u2013 tool definitions, execution flows, and connecting LLMs to external APIs Reasoning Strategies \u2013 compare Chain-of-Thought, ReAct, and Plan-and-Execute side by side ReAct Agent from Scratch \u2013 build the full observe-think-act loop with zero frameworks RAG Pipeline \u2013 chunking, embeddings, hybrid search, re-ranking, HyDE, GraphRAG, and Agentic RAG Agent Memory \u2013 implement semantic, episodic, and procedural memory with mem0 + ChromaDB Multimodal Retrieval \u2013 extend pipelines to images and document layout Mini MCP Client \u2013 build your first client for the protocol behind both production capstones Watch Intro Video Watch Intro Video An Autonomous Research Agent Build an autonomous research system to synthesize structured research notes. You'll implement: Multi-source data collection \u2013 crawl websites, GitHub repositories, and YouTube videos ReAct reasoning loops \u2013 iterative research patterns Tool orchestration \u2013 integrate Firecrawl, gitingest, Gemini, and Perplexity via function calling Multi-round research cycles \u2013 automated query generation and refinement Human-in-the-loop feedback \u2013 user-approved query workflows Deterministic Writing Workflow Transform research into publication-ready content with multi-modal outputs. You'll implement: Multi-modal generation \u2013 text, Mermaid diagrams, and images Chain-of-thought prompting \u2013 coherent long-form content generation Evaluator-optimizer patterns \u2013 automated quality control loops Orchestrator-worker architecture \u2013 context engineering for style control MCP-based editing tools \u2013 real-time collaboration with Cursor LangGraph workflows \u2013 production pipeline orchestration Watch Intro Video Watch Intro Video Agent Architecture and Production Stack Master the complete production stack for AI agents, from foundations to deployment. You'll implement: Durable workflows \u2013 LangGraph's functional API for stateful orchestration Custom evaluation frameworks \u2013 LLM judges and alignment scoring Opik monitoring \u2013 debugging and tracing non-deterministic behavior Production deployment \u2013 Docker, GCP, CI/CD pipelines MCP Authentication \u2013 Descope multi-tenant user integration Integration patterns \u2013 Custom agentic functionality on top of Cursor, Claude, or other harnesses Learn the Discipline that Turns LLM Calls into Reliable Multi-Agent Systems Explore the First 7 Lessons Free Unlock Free Preview 5 star rating Must Have course to learn Agentic AI Engineering Vinay Gupta This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support. Read Less 5 star rating Complicated topic presented very well Mark Chase Agentic engineering is a very complicated topic. There are many moving parts in the process of creating an agent. This course not only teaches you these parts, but also how to select which parts you want to use. I liked how they presented not o... Read More Agentic engineering is a very complicated topic. There are many moving parts in the process of creating an agent. This course not only teaches you these parts, but also how to select which parts you want to use. I liked how they presented not only the reasons why to do something, but also any drawbacks of that option as well. You really get a clear understanding of the entire process. Read Less 5 star rating Practical Minimum Viable Learning Path abhijeet choudhari Theory and practical trade-off covered makes it complete. Diagram and code added to each further improved the clarity. Learning the book and this course should be good enough as foundation for anyone. Theory and practical trade-off covered makes it complete. Diagram and code added to each further improved the clarity. Learning the book and this course should be good enough as foundation for anyone. Read Less 5 star rating An excellent course on Agentic Engineering Luong Nguyen Dinh This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning... Read More This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning from mistakes. Thank the team for creating such a valuable course! Read Less 5 star rating A Practical, Production-Grade Guide to Agentic Engineering Shekhar Tanwar This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workfl... Read More This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workflows feel industry-standard, making it especially valuable for engineers looking to ship reliable, scalable agentic systems. Read Less 5 star rating Best Resource on Agentic AI Hemkumar Poosala In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI ... Read More In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI Engineering by Louis Bouchard and Paul Lusztin i was amazed by the way the course has been designed it has in depth concepts and practical implementations which was wonderful, planning to implement these skills in my job . I throughly enjoyed learning this course and i would recommend anyone who is looking out for Agentic AI course this will help them in their career .Amazing work Louis and Paul kudous to you both.Thanks for giving the wonderful oppurtunity. Read Less 4 star rating TLDR Foundations to Agent AI Eng Jose-Alberto Salazar-Jimenez The course gives the foundations necessary to understand what agent AI eng is about The course gives the foundations necessary to understand what agent AI eng is about Read Less Course Curriculum Part 1: Foundations of Workflows and Agents Part 2: Agentic Techniques & Building Agentic Systems Part 3: Evaluation, Observability, and Production Engineering Part 4: Your Capstone Project Risk-Free Learning: 30-Day Money-Back Guarantee If you explore the early part of the course and feel it\u2019s not what you need, you can request a refund within 30 days by emailing us at [email protected] Start Risk-Free How It Works Self-paced project-based learning designed for working professionals. Self-Paced + Instructor Support: Learn on your schedule with lifetime access. Join dedicated Discord channels with instructors and fellow course takers. Learn by Building: Hands-on projects from day one. Build two production agents from scratch, not toy examples or follow-along tutorials. Active Discord Community: Get unstuck fast. Connect with fellow builders, share progress, and collaborate on projects in an active engineering community. Certificate Upon Completion: Prove you built and deployed production AI. Graduate with certification backed by two real systems and portfolio-ready proof you ship. Lifetime Access + Updates: All current content plus future updates as AI evolves. Your investment stays valuable. Money-Back Guarantee: 30-day full refund, no questions asked. Risk-free enrollment. Who This Course Is For For software engineers, data engineers, data scientists transitioning into AI Engineering Python: Comfortable with functions, classes, and API calls LLMs: Familiar with OpenAI/Claude APIs and basic prompting Docker & Cloud: Understand containerization and deployment basics Skill Level: Intermediate to advanced, expect a challenge Mindset: Learn by building, not watching tutorials Build Your First Agent This Week \udb40\udc6f\u2022\udb40\udc4f Stop calling LLMs. Start engineering agents. \udb40\udc6f\u2022\udb40\udc4f Own two agents, fully production-ready \udb40\udc6f\u2022\udb40\udc4f Gain portfolio-ready skills with certification \udb40\udc6f\u2022\udb40\udc4f Master fundamentals that outlast trends Self-paced learning \u2022 Regular updates \u2022 Risk-free enrollment Enroll Now Brought to you by Towards AI's mission is to make \"building with AI\" more accessible. Since 2019, we have helped teach over 400k about AI with our courses, blogs, tutorials, books, community, and personalized consultancy. After shipping 21 AI apps, Paul Iusztin has used his best-selling LLM Engineer's Handbook, Decoding AI Magazine, and social media platforms to lead 162,000+ AI engineers out of \"demo purgatory\" and into production-grade engineering. FAQ Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. How does it compare to your \"Full Stack AI Engineering\" course? The Full Stack AI Engineering course teaches the complete LLM product stack including RAG, fine-tuning, deployment, and agents through one central AI product. The Agents course goes much deeper into designing, orchestrating, evaluating, and deploying production-grade autonomous systems. If Full Stack teaches you how to build an AI product, Agents teaches you how to engineer the autonomy inside it. What projects will I work on? You'll build two interconnected production agents from the ground up: a Research Agent and a Writing Workflow, with human-in-the-loop capabilities, while mastering the foundations of agentic architecture. How is this course different from other AI courses? Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately. Do you have a referral or affiliate program? For every referral you provide, you\u2019ll gain access to our exclusive eBook. If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Our refund policy If you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. Build 'Truly' Autonomous Features for Your Workflows, Company, and Product From agent user to agent builder Enroll Now What You'll Build You implement every technique in pure Python: notebooks first for speed, then production code you ship from your own repo. Notebooks let you isolate, run, and inspect one idea at a time. Every piece moves into the deployed system. Pure Foundations that go deeper than frameworks The mechanics behind agents, workflows, and every tool you'll use in production - taught with code. Architecture & Reasoning - workflows vs. agents, Chain-of-Thought, ReAct, Plan-and-Execute Structured Outputs & Context Engineering - Pydantic schemas, state management, compression, caching, context isolation Function Calling - tool schemas, execution flows, building a @tool decorator framework RAG, Memory & Multimodal - hybrid search, re-ranking, HyDE, GraphRAG, Agentic RAG, persistent memory with mem0 + ChromaDB Watch Intro Video Watch Intro Video Four Mini Projects ready-to-run notebooks, zero setup Put every foundation to work - four small builds before production begins. ReAct Practice - the observe-think-act loop built from scratch, no framework Workflow Engine - chaining, routing, parallelization, and orchestrator-worker wired together Multimodal RAG Agent - retrieval and reasoning across text, images, and document layout MCP Client - your first working client for the protocol behind both production capstones An Autonomous Research Agent your first production system Build an autonomous research system to synthesize structured research notes. You'll implement: Multi-source data collection \u2013 crawl websites, GitHub repositories, and YouTube videos ReAct reasoning loops \u2013 iterative research patterns Tool orchestration \u2013 integrate Firecrawl, gitingest, Gemini, and Perplexity via function calling Multi-round research cycles \u2013 automated query generation and refinement Human-in-the-loop feedback \u2013 user-approved query workflows Watch Intro Video Watch Intro Video Deterministic Writing Workflow production workflow pipeline Transform research into publication-ready content with multi-modal outputs. You'll implement: Multi-modal generation \u2013 text, Mermaid diagrams, and images Chain-of-thought prompting \u2013 coherent long-form content generation Evaluator-optimizer patterns \u2013 automated quality control loops Orchestrator-worker architecture \u2013 context engineering for style control MCP-based editing tools \u2013 real-time collaboration with Cursor LangGraph workflows \u2013 production pipeline orchestration Multi-Agent Integration connecting both agents into one system Wire the research agent and writing workflow into a unified, orchestrated system. You'll implement: Central LLM orchestration - a single LLM selecting tools across both agents dynamically Multi-server MCP client - one client connecting to multiple independent agent servers Composed MCP server - a unified endpoint that proxies both agents via FastMCP Watch Intro Video Watch Intro Video Production Stack ship, monitor, and maintain Everything that separates a demo from a system you can ship. You'll implement: Opik observability - tracing and debugging non-deterministic agent behavior Custom evaluation frameworks - LLM judges, alignment scoring, evaluation datasets CI/CD for AI - three-tier testing, mocked LLM tests, GitHub Actions, AI evals as regression checks Authentication - multi-tenant users with Descope Deployment - Docker, GCP, database integration, file management Capstone: build your own MCP server - the project that earns certification Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/pages/towards-ai-insider", + "host": "academy.towardsai.net", + "path": "/pages/towards-ai-insider", + "kind": "page", + "title": "Towards AI Insider", + "meta_description": "", + "headings": [ + "Towards AI Academy", + "Banner", + "Your AI career doesn't have to be a solo project.", + "FAQ" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/pages/towards-ai-insider" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Call to action", + "url": "https://academy.towardsai.net/pages/towards-ai-insider" + }, + { + "text": "Become an Insider", + "url": "https://academy.towardsai.net/products/communities/builders-hub" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Towards AI Insider Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Banner Add a concise subheading about your product or business to your students. Call to action Our team trains engineers at Your AI career doesn't have to be a solo project. Become an Insider FAQ Is this 1:1 coaching? Not exactly. Live sessions are group-based (your resume/project is reviewed in front of the room), and async support is direct. You get personal feedback without 1:1 pricing. What if I can't attend the live sessions? Every session is recorded and available within 24 hours. You can also submit your resume or project for async written review. I'm a beginner. Is this for me? If you've taken an AI course or can write Python, yes. If you're starting from zero, our courses are a better first step, the Insider is where you go after. How is this different from your courses? Courses teach you how to build. The Insider gives you ongoing mentorship, career support, and access to the team, so you can actually land the role and keep growing. Can I cancel anytime? Yes. Monthly plans cancel instantly. Annual plans include a 30-day money-back guarantee. Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/pages/agent-course-new-page-cro", + "host": "academy.towardsai.net", + "path": "/pages/agent-course-new-page-cro", + "kind": "page", + "title": "Production AI Agents Course", + "meta_description": "", + "headings": [ + "Towards AI Academy", + "Learn to Build Production-Ready AI Agents", + "The Market Has Now Shifted Permanently", + "What You'll Build", + "Research Agent", + "Writing Workflow", + "Agent Architecture", + "Build Your First Production-Ready Agent This Week", + "What Other Students Are Saying", + "Great value for agentic knowledge", + "An excellent course on Agentic Engineering", + "Great course", + "AMAZING CONTENT", + "Hands-On, Industry-Centered, Production-Ready Course", + "Amazing Course", + "Course Curriculum", + "How It Works", + "Who Is This Course For?", + "This Course is for You If:", + "This is NOT for you if:", + "Invest in your AI Engineering skills", + "\u2b50 BEST VALUE", + "\ud83d\udd04 FLEXIBLE PLAN", + "Build 'Truly' Autonomous Features for Your Workflows, Company, and Product", + "\ud83d\udee1\ufe0f 30-Day Money-Back Guarantee", + "FAQ" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/pages/agent-course-new-page-cro" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Unlock Lifetime Access (Early-bird pricing)", + "url": "https://academy.towardsai.net/cart/add_product/3406924?price_id=4319175" + }, + { + "text": "Watch Intro Video", + "url": "https://youtu.be/Y5_NMQgV0Z8" + }, + { + "text": "Enroll Now", + "url": "https://academy.towardsai.net/cart/add_product/3406924?price_id=4319175" + }, + { + "text": "Read Less", + "url": "https://academy.towardsai.net/pages/agent-course-new-page-cro" + }, + { + "text": "Read More", + "url": "https://academy.towardsai.net/pages/agent-course-new-page-cro" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "Production AI Agents Course Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Learn to Build Production-Ready AI Agents Become an Agentic AI Engineer who designs production-ready systems and leave with an AI agent portfolio that proves it. Unlock Lifetime Access (Early-bird pricing) Watch Intro Video The Market Has Now Shifted Permanently Companies are hiring for AI engineers who can build, deploy and maintain agentic AI systems in production. AI Engineer is the Fastest Growing Job Role in 2026 AI Engineer is LinkedIn's most in-demand job in 2026. But companies aren't hiring engineers who understand AI conceptually. They're hiring engineers who can build production-ready systems \u2014 research agents, writing workflows, RAG pipelines \u2014 with full evaluation, observability, and deployment infrastructure built in. $185k Market Salary for AI Engineering Roles The compensation difference between a traditional software engineer and an AI engineer is significant \u2014 and it's not primarily about years of experience. It comes down to a specific set of judgment calls: knowing when deterministic workflows are more reliable than autonomous agents, understanding where human oversight is essential, and building systems that hold up in production, not just in demos. 74% of Companies Plan to Deploy Agentic AI AI is moving from the pilot and experimentation phase to enterprise scaling as worker access to AI expands. Nearly 3 in 4 companies will deploy agentic AI workflows in the next 2 years and 64% companies are using AI in key processes to produce transformative outcomes. What You'll Build Three production-ready capstone projects you can demo to employers, use in your work, or deploy for clients. Research Agent Build an autonomous research system to synthesize structured research notes. You'll implement: Multi-source data collection \u2013 crawl websites, GitHub repositories, and YouTube videos ReAct reasoning loops \u2013 iterative research patterns Tool orchestration \u2013 integrate Firecrawl, gitingest, Gemini, and Perplexity via function calling Multi-round research cycles \u2013 automated query generation and refinement Human-in-the-loop feedback \u2013 user-approved query workflows Writing Workflow Transform research into publication-ready content with multi-modal outputs. You'll implement: Multi-modal generation \u2013 text, Mermaid diagrams, and images Chain-of-thought prompting \u2013 coherent long-form content generation Evaluator-optimizer patterns \u2013 automated quality control loops Orchestrator-worker architecture \u2013 context engineering for style control MCP-based editing tools \u2013 real-time collaboration with Cursor LangGraph workflows \u2013 production pipeline orchestration Agent Architecture Master the complete production stack for AI agents, from foundations to deployment. You'll implement: Durable workflows \u2013 LangGraph's functional API for stateful orchestration Custom evaluation frameworks \u2013 LLM judges and alignment scoring Opik monitoring \u2013 debugging and tracing non-deterministic behavior Production deployment \u2013 Docker, Cloud Run, CI/CD pipelines Authentication & state \u2013 Descope integration and Cloud SQL management Integration patterns \u2013 deploy to Cursor, Claude, or custom implementations Build Your First Production-Ready Agent This Week You won't spend weeks on theory before touching code. By the end of your first week: \u2022 Deploy two working agents to production \u2022 Understand core agent configuration patterns. \u2022 Master the fundamentals by building, not reading or watching tutorials Enroll Now What Other Students Are Saying 5 star rating Great value for agentic knowledge Victor Palomares This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! Read Less 5 star rating An excellent course on Agentic Engineering Luong Nguyen Dinh This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning... Read More This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning from mistakes. Thank the team for creating such a valuable course! Read Less 5 star rating Great course Ahmed Medhat Every AI Engineer needs course like that. Every AI Engineer needs course like that. Read Less 5 star rating AMAZING CONTENT Shadrack Darku This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course Read Less 5 star rating Hands-On, Industry-Centered, Production-Ready Course Abreham melese Booobnb The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. Read Less 5 star rating Amazing Course Nelson Pullella Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. adem\u00e1s se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluaci\u00f3n de los agentes, cosa q es muy ... Read More Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. adem\u00e1s se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluaci\u00f3n de los agentes, cosa q es muy importante. Read Less Course Curriculum Part 1: Foundations of Workflows and Agents Part 2: Agentic Techniques & Building Agentic Systems Part 3: Evaluation, Observability, and Production Engineering Part 4: Your Capstone Project How It Works Project-based learning designed for working professionals\u2014self-paced with live instructor support. Self-Paced + Live Introductory Cohort Calls: Learn on your schedule with lifetime access. Join introductory cohort calls with instructors and fellow course takers. Learn by Building: Hands-on projects from day one. Build two production agents from scratch, not toy examples or follow-along tutorials. Active Discord Community: Get unstuck fast. Connect with fellow builders, share progress, and collaborate on projects in an active engineering community. Certificate Upon Completion: Prove you built and deployed production AI. Graduate with certification backed by two real systems\u2014portfolio-ready proof you ship. Lifetime Access + Updates: All current content plus future updates as AI evolves. Your investment stays valuable. Money-Back Guarantee: 30-day full refund, no questions asked. Risk-free enrollment. Who Is This Course For? Anyone with a basic understanding of Python and the drive to build production AI. This Course is for You If: \u2705 You're a software engineer who wants to build AI agents \u2705 You want production skills, not toy demos \u2705 You're a backend, fullstack, or ML eng adding AI to your skillset \u2705 You want portfolio projects you can show in interviews \u2705 You learn best by building real things This is NOT for you if: \u274c You have zero programming experience \u274c You're looking for a quick certificate to put on LinkedIn without doing the work \u274c You want someone to build your agents for you \u274c You only want conceptual/theoretical understanding Invest in your AI Engineering skills How pricing works for this course \u2b50 BEST VALUE Pay in Full $499 One-time payment \u2713 Lifetime access \u2713 All future updates \u2713 3 capstone projects \u2713 Full curriculum (XX hours, XXX lessons) \u2713 Community access \ud83d\udd04 FLEXIBLE PLAN 3 Monthly Payments $189/mo \u00d7 3 months ($567 total) \u2713 Lifetime access \u2713 All future updates \u2713 3 capstone projects \u2713 Full curriculum (XX hours, XXX lessons) \u2713 Community access Start for just $189 today Build 'Truly' Autonomous Features for Your Workflows, Company, and Product Enroll Now \ud83d\udee1\ufe0f 30-Day Money-Back Guarantee If the course isn't what you expected, email us within 30 days for a full refund. No questions, no hassle. FAQ Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. What projects will I work on? You'll build two interconnected production agents from the ground up: a Research Agent and a Writing Workflow, with human-in-the-loop capabilities, while mastering the foundations of agentic architecture. How is this course different from other AI courses? Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately. Do you have a referral or affiliate program? For every referral you provide, you\u2019ll gain access to our exclusive eBook. If you refer three or more people, we\u2019ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-Fran\u00e7ois at [email protected] with proof of referral. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Our refund policy If you feel the course isn\u2019t right for you, we\u2019ll provide a 100% refund within 30 days\u2014no hassle, no worries. 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build AI products that really work", + "url": "https://academy.towardsai.net/pages/free-lesson-offer" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "NEW home page Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Build a Career in AI Engineering Through project-based courses built by engineers who do this for a living. 10,000+ engineers trained across our certification programs Become an AI Engineer Watch Intro Video Industry Leaders on Our Resources Helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. \u2014 Jerry Liu, Co-founder and CEO of LlamaIndex A comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code \u2014 Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta Towards AI has done a great job assembling all of the technical resources needed by a modern GenAI applied practitioner. \u2014 Sander Schulhoff, Founder and CEO of Learn Prompting Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. \u2014 Pete Huang, Co-founder of The Neuron The AI Industry Has a People Problem We're training the engineers it needs. Foundation Models Are Just the Starting Point Learn to engineer what goes on top Master prompting, RAG, fine-tuning, tool use, and agents, and build the scalable systems foundation models alone can't deliver. The Skill Gap Is Widening Every Quarter Build judgment that outlasts any framework Every program is built around production-grade projects, learn to handle failures, optimize at scale, and ship reliably, not just follow along in a notebook. Enterprises Want AI. Engineers Are the Bottleneck. Get trained in exactly what they're hiring for A deployed product, a certified portfolio, and the skills enterprises are hiring for are built into every course. Ready to Be Part of the Solution? Get the AI Training the Industry Needs Students have rated our courses \u2b50 4.8 out of 5 5 star rating Great value for agentic knowledge Victor Palomares This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it! Read Less 5 star rating The most comprehensive LLM / AI engineering course out there Carlo Casorzo I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended Read Less 5 star rating Fantastic resource for getting into LLMs Paul Iusztin If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, pas... Read More If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills. Read Less 5 star rating Good Way to Start learning Python James White I have taken a few classes before but learning with AI has made the experience a lot better. I'm able to get instant help and the prompt guidance was great. Certainly beats the way I've learning programming languages in the past I have taken a few classes before but learning with AI has made the experience a lot better. I'm able to get instant help and the prompt guidance was great. Certainly beats the way I've learning programming languages in the past Read Less 5 star rating Fantastic course for Software Developer/Engineering Shiwang Singh As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the rig... Read More As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the right insights to get started with building a RAG system in a practical way. Thanks, Louis-Fran\u00e7ois, for the great course! Read Less 5 star rating Excellent Course for Serious Students David Turner I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!! I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!! Read Less 5 star rating An Exceptional End-to-End LLM Engineering Course Gino Sedano The Full Stack Engineering course by Towards AI is truly exceptional because it doesn\u2019t just teach you how to use LLMs\u2014it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessar... Read More The Full Stack Engineering course by Towards AI is truly exceptional because it doesn\u2019t just teach you how to use LLMs\u2014it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessary math, about how LLMs work and why they fail, and then guides you step by step through building a complete RAG AI Tutor, covering prompting, basic and advanced RAG, evaluation, fine-tuning, embeddings, data scraping and cleaning, model selection across open and closed ecosystems, cost, privacy, and optimization. Everything is taught in a hands-on, practical way, including lessons learned from approaches that didn\u2019t work and why, which closely mirrors real-world engineering. The course goes beyond notebooks: you finish by deploying your solution using FastAPI, Gradio, and Hugging Face Spaces, with clear guidance for production readiness. It also broadens your perspective with agents, frameworks like LangChain and LlamaIndex, observability, optimization, and a strong product and business mindset. It\u2019s demanding, well structured, and firmly grounded in real-world practice\u2014ideal if you want to move from experimenting with LLMs to building serious, production-ready solutions. Read Less 5 star rating Hands-On, Industry-Centered, Production-Ready Course Abreham melese Booobnb The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on. Read Less Everything You Need to Build a Career in AI Five programs: from your first line of Python to production-grade AI engineering. Full Stack AI Engineering Your path to building production-grade LLM systems. Agentic AI Engineering Your path to building fully autonomous production agents. 10-hour LLM Fundamentals Your fast track to understanding the full LLM stack. Python for AI Engineering Your foundation for building AI applications with LLMs and Python. AI for Professionals Your path to becoming AI-first in your field. Our Clients You're in the Right Place If: You want to ship a production-grade LLM product, not just run a notebook. You want to be the AI engineer your company can't afford to lose. You want a project, a portfolio, and certification you can stand behind. You want to master LLMs, RAG, fine-tuning, and agents, end-to-end. You're building toward a role, a product, or an AI initiative worth leading. You're willing to put in the work that most developers won't. Trusted by Professionals in the Field \u201cAn indispensable guide for anyone venturing into the world of large language models...Covering everything from theory to practical deployment.\u201d Shashank Kalanithi, Data Engineer at Meta \u201cContains thorough explanations and code for you to start using and deploying LLMs, as well as optimizing their performance. Very highly recommended!\u201d Luis Serrano, PhD, Founder of Serrano.Academy and author of Grokking Machine Learning \u201cThis will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur Why Developers Choose Towards AI Training Built for the Industry Created by 15+ Senior AI Engineer Built from what we implement for enterprise clients, you graduate with a deployed product, a certified portfolio, and the production experience to back it up. Designed to Make Developers AI-First Training the engineers the AI economy needs Since 2019, our learners have moved into six-figure roles, launched startups, and led AI-first transformations, with a certified portfolio that proves what they can build. Created for Working Professionals Community, lifetime access, and ongoing support Self-paced with lifetime access, live kick-off calls, weekly updates, and an 80k+ Discord community, so you can learn on your schedule without ever falling behind. Ready to become an AI engineer? Begin Your Transition FAQ Will I get a certificate upon completion? Yes, you will receive a Towards AI certificate upon completion. What projects will I work on? You\u2019ll work on building your own AI tutor, create RAG pipelines, and build your advanced LLM MVP. Each project is designed to solve real-world problems, ensuring you gain practical, hands-on experience. What are the course prerequisites? Intermediate Python, basic GitHub knowledge, and a device you can set up a coding environment on. No prior AI or LLM experience needed. When was this course created? Is it still up to date? The course was originally launched in 2025, but we update it every single week with new lessons, tools, and techniques as the AI landscape evolves. You\u2019re not just buying a static course\u2014you\u2019re getting a living resource designed to keep you ahead. How is this course different from other AI courses? Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately. What is the difference between Full Stack and Agentic AI engineering course? The Agents course is a deep dive into building production-grade autonomous systems. Full Stack AI Engineering is broader. You build a complete LLM product from data collection to RAG, fine-tuning, deployment, and business positioning, with agents as one component of the stack. If Agents is about mastering autonomy, Full Stack is about mastering the full AI product lifecycle. Do you have a referral or affiliate program? Yes. Towards AI offers an Affiliate Program and Referral Program, enabling you to earn money (up to $70 per course & $180 for a bundle) and free access to our courses by promoting our top courses and the \"Building LLMs for Production\" eBook. Check the 'Affiliate' page linked in the header. Can I get a discount? Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-Fran\u00e7ois at [email protected] for a follow-up. Can I take this course within my company? Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected] . Why Towards AI Academy? Practical, industry-proven AI training that turns developers into AI engineers and anyone into an AI power user. 100,000+ Learners Since 2019 Certification That Opens Career Opportunities Our mission is simple: help individuals and companies join the group benefiting from AI. Since 2019, our learners have moved into six-figure roles, launched startups, and led AI-first transformations. Our certification courses are tangible proof of your capabilities in the job market. In-Depth, Industry-Based Learning Taught by 15+ Industry Experts Our team has built cutting-edge LLM applications, delivered corporate AI bootcamps, and experimented daily with AI tools across diverse work tasks. Courses combine these real-world experiences into practical, production-scale workflows, covering the full process from idea to deployed system. You\u2019ll learn what works, what doesn\u2019t, and why. Lifetime Access, Monthly Updates Self-Paced Learning, Always Updated We condense everything we\u2019ve learned from building LLM agents, running enterprise projects, and constant AI experimentation into a single, evolving curriculum. Updated every month with new tools, methods, and case studies, our courses stay relevant as the field changes, so you never risk falling behind. Risk-Free Learning: 30-Day Money-Back Guarantee We curate every course with a practical-first approach, but we also know that learning is personal. If you find that a course isn\u2019t the right fit, just let us know within 30 days, we\u2019ll make it right with a full refund. No hard feelings. Browse Courses Why Learners Choose Us Learn by building from day one Comprehensive, production-grade systems training 15+ AI engineers who build scalable AI systems as instructors Updated monthly with new tools and methods 80k+ Discord community and dedicated course channels Certification valued by employers and clients Priced for access and 30-day refund policy Still Not Sure Which Course To Pick? Get a sneak peek before committing with a free preview. AI for Business Professionals Learn to use AI at work! From research to writing, data analysis and brainstorming - learn to think \"AI first\" and join those achieving huge productivity boosts in their day jobs. Python Primer for GenAI Create a Python Tool from Scratch Build your first AI-powered Python project. No coding experience needed, test your skills and see how fast you can learn. Prepare to take our python based AI Engineering certification. Master AI Engineering Forget fancy demos; build AI products that really work Every major company is rushing to integrate LLMs. Those who know how to build and scale them are becoming the most sought-after professionals in tech. Join the course designed to turn you into that expert. Louie Peters Towards AI Co-founder & CEO My journey into AI began with a love for science fiction, which deepened with AlexNet's breakthrough in 2012. By 2018, convinced of AI\u2019s transformative power, I transitioned to focus on AI startups. I\u2019m especially passionate about using AI to advance biology, clean energy, and poverty solutions. As the CEO and Co-founder of Towards AI, my mission is to make AI accessible and impactful for individuals and organizations alike. Through our books, tutorials, and courses, I aim to bridge the gap between AI innovation and its practical application. I also write a weekly AI newsletter that connects with over 120,000 readers, keeping them informed on the latest developments in this rapidly evolving field. With a Physics degree from Imperial College and experience in Investment Research at J.P. Morgan, I bring a unique perspective on the disruptive social and economic impact of AI. My focus is on turning cutting-edge breakthroughs into real-world solutions that benefit society. Louis-Fran\u00e7ois Bouchard Towards AI Co-founder & CTO Louis-Fran\u00e7ois Bouchard is the co-founder of Towards AI, where he builds and teaches a practical toolkit for shipping reliable LLM products. He co-authored Building LLMs for Production, a hands-on guide to prompting, fine-tuning, retrieval augmented generation, and evaluation. Through Towards AI Academy, he has launched multiple in-depth courses for AI engineers, designed to turn developers into AI professionals who can transform prototypes into scalable, customer-ready systems. He also runs the What\u2019s AI YouTube channel and newsletter, translating new research and best practices into clear engineering playbooks for 70K+ subscribers and tens of thousands of readers. Today, he partners with founders and organizations on AI strategy, training design, and production workflows that raise accuracy, reduce risk, and make generative AI useful for paying customers, and he speaks at events such as Uphill Conf. 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Whether you\u2019re interested in partnerships, have a question about our courses, or want to connect with our team, you can reach us directly through the emails below. How to Reach Us We\u2019ll make sure your message gets to the right person. Expect a response within a few business days. Support (Accounts, Billing, Course Access, Certificates) \ud83d\udce9 [email protected] For any issues with your Towards AI Academy account or courses, such as login problems, payment/billing questions, enrollment or access errors, certificates, refunds, or technical glitches. For technical questions, ask on the course forum or the course-dedicated Learn AI Together Discord channel ! Custom Training & Consulting (Teams & Companies) \ud83d\udce9 [email protected] If you\u2019re looking to upskill your team or need tailored AI/LLM training, workshops, or consulting, we can design a program around your goals and constraints. For more information about our B2B offering, please visit this link . 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Home All Products Work with us (B2B) Terms & Conditions Become an affiliate Contact Us \u00a9 Copyright Towards AI Academy 2026" + }, + { + "url": "https://academy.towardsai.net/pages/about-us", + "host": "academy.towardsai.net", + "path": "/pages/about-us", + "kind": "page", + "title": "About Us", + "meta_description": "", + "headings": [ + "Towards AI Academy", + "Training Developers for Production AI", + "Project-Based Courses", + "In-Person Bootcamps", + "Customized Enterprise Programs", + "Industry Leaders on Our Resources", + "About Towards AI", + "Our Milestones", + "Who Are These Resources For?" + ], + "links": [ + { + "text": "Skip to main content", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "Towards AI Academy", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Our Courses", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "About Us", + "url": "https://academy.towardsai.net/pages/about-us" + }, + { + "text": "B2B", + "url": "https://towardsai.net/let-us-transform-your-team-into-ai-first-employees-to-stay-ahead-of-competitors" + }, + { + "text": "Affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + }, + { + "text": "Contact Us", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Sign In", + "url": "https://academy.towardsai.net/users/sign_in" + }, + { + "text": "Become an AI Engineer", + "url": "https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev" + }, + { + "text": "Get in Touch", + "url": "https://academy.towardsai.net/pages/contact-us" + }, + { + "text": "Learn More", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Find Your Perfect Course!", + "url": "https://academy.towardsai.net/" + }, + { + "text": "Home", + "url": "https://academy.towardsai.net/" + }, + { + "text": "All Products", + "url": "https://academy.towardsai.net/collections" + }, + { + "text": "Work with us (B2B)", + "url": "https://towardsai.net/b2b" + }, + { + "text": "Terms & Conditions", + "url": "https://towardsai.net/terms" + }, + { + "text": "Become an affiliate", + "url": "https://academy.towardsai.net/pages/affiliate" + } + ], + "structured": { + "product": {}, + "reviews": [] + }, + "text": "About Us Skip to main content Towards AI Academy Toggle menu Menu Our Courses About Us B2B Affiliate Contact Us Sign In Training Developers for Production AI Through project-based courses, in-person bootcamps, and customized enterprise programs. 10,000+ engineers trained, including teams at Meet Our Founders \"We are at the beginning of the most significant technological shift in history. The solutions that define this era, in healthcare, energy, finance, and education, will be built by AI engineers. I am building Towards AI to be where those engineers are made.\" Louie Peters, Co-founder & CEO \"I left academia to solve real problems and discovered the hardest one was finding training that reflected how production AI actually works. So I built them. Everything we create at Towards AI is focused on one thing: you will learn to build and ship production-grade AI systems.\" Louis-Fran\u00e7ois Bouchard, Co-founder & CTO Project-Based Courses The most in-depth path from developer to AI engineer Most developers hit the same wall: tutorials that work in notebooks but fall apart in production. Our courses are built around one project, taken end-to-end: real data pipelines, real deployment, real failure modes. By the time you finish, you haven't just learned the stack, you've shipped something that works. Become an AI Engineer In-Person Bootcamps Intensive training to accelerate AI adoption within your teams Your developers know how to code. The gap is knowing how to build reliably on top of probabilistic systems, how to evaluate outputs, handle failures, and ship LLM features that hold up under real usage. Our bootcamps close that gap directly, tailored to your stack and the specific problems your team is trying to solve. Get in Touch Customized Enterprise Programs End-to-end AI consulting for organizations building with LLMs Most enterprise teams lack the production experience to know which AI initiatives are worth building and how to build them without it blowing up in their face. Our team of 15+ AI practitioners works directly with yours to identify the right use cases, make the right technical calls, and build systems that actually deliver. Learn More Industry Leaders on Our Resources \u201cHelps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. \u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cA comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code.\u201d Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta \u201cTowards AI has done a great job assembling all of the technical resources needed by a modern GenAI applied practitioner.\u201d Sander Schulhoff, Founder and CEO of Learn Prompting \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cLouis and the Towards AI team have created an essential resource for developers who want to expand their AI expertise and apply it to real-world challenges.\u201d Alex Volkov, AI Evangelist at Weights & Biases and Host of ThursdAI.news \u201cContains thorough explanations and code for you to start using and deploying LLMs, as well as optimizing their performance. Very highly recommended!\u201d Luis Serrano, PhD, Founder of Serrano.Academy and author of Grokking Machine Learning \u201cAn incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!\u201d Nick Singh, Founder of DataLemur \u201cAn indispensable guide for anyone venturing into the world of large language models...Covering everything from theory to practical deployment.\u201d Shashank Kalanithi, Data Engineer at Meta \u201cThis will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila About Towards AI Since 2019, we have been bridging the gap between AI research and what it actually takes to build with it in industry. What started as a newsletter has grown into one of the largest AI learning communities, with 500,000+ learners, 160,000 newsletter subscribers, and an 80,000-member Discord where engineers share what they are actually building. Behind every course, bootcamp, and enterprise program is a team of 15+ AI practitioners who work on production systems daily, not educators who learned AI, but engineers who built the training they couldn't find anywhere else. Our Milestones Who Are These Resources For? Our material is designed for highly motivated learners who are ready to invest in their future. While we offer a variety of courses for every skill level, you won\u2019t just be sitting through long videos; you\u2019ll be actively building and learning through hands-on projects. Whether you're a beginner or an experienced coder, our tailored content challenges you and grows with your skills. Expect to dedicate time and effort to complete practical assignments that reflect real-world applications. Our resources are designed by experts with real industry experience, meaning you\u2019ll learn what it takes to thrive in today\u2019s AI landscape. Our learners have successfully transitioned into high-paying AI roles, launched innovative solutions, and excelled in their careers by gaining the skills needed to create, deploy, and manage advanced AI systems. Find Your Perfect Course! 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It\u2019s a must-have in the library of every aspiring and seasoned AI professional.\u201d Shashank Kalanithi Data Engineer at Meta \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks.\u201d Pete Huang Co-founder of The Neuron \u201cThis book covers everything you need to know to start applying LLMs in a pragmatic way \u2013 it balances the right amount of theory and applied knowledge, providing intuitions, use-cases, and code snippets.\u201d Jeremy Pinto Senior Applied Research Scientist at Mila \u201cThe book is accessible, with multiple tutorials that you can readily copy, paste, and run on your local machine to showcase the magic of modern AI.\u201d Rafid Al-Humaimidi Senior Software Engineer at Amazon Web Services (AWS) Quotes from Towards AI Founders \u275b\u275b Our team at Towards AI aims to make it possible for anyone to transition into AI. 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Follow Roberto: X , LinkedIn , GitHub , Google Scholar , Towards AI Profile , Medium , ML@CMU , FreeCodeCamp , Crunchbase , Bloomberg , Roberto Iriondo, Generative AI Lab , Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti , Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters , Job Title: Co-founder Works for: Towards AI, Inc. Louis-Fran\u00e7ois Bouchard , Job Title: Co-founder Works for: Towards AI, Inc. Cover: Logo: Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net Follow us on: Facebook X LinkedIn Instagram Youtube Github Google My Business Google Search Google News Google Maps Discord Shop Towards AI, Medium Editorial Medium Flipboard Publication Feed Sponsors Sponsors Contribute 5 stars \u2013 based on 497 reviews Frequently Used, Contextual References TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e Resources Free: 6-day Agentic AI Engineering Email Guide . Learnings from Towards AI's hands-on work with real clients. Building AI for Production Resources & Links This page is a comprehensive compilation of all the links and resources in the book \u201cBuilding AI for Production: Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG\u201d. Here, you\u2019ll find a collection of code notebooks, checkpoints, GitHub repositories, learning resources, and all other materials shared throughout the book. It is organized chapter-wise and presented in chronological order for easy access. If you see discrepancies between the code in the book and the code in colab, or want to improve the colabs with new updates, please feel free to create a pull request in the GitHub . Key Updates from Edition 1 to Edition 2 Chapter Update Description Chapter 1 Expanded to include the latest benchmarks, such as LMSYS, and a run-through of recent models like GPT-4 and Gemini 1.5 and technniques like Infinite Attention. Chapter 2 Extended industry applications of LLMs in sectors like media, education, finance, and medicine, with a deeper dive into pecific use cases in each industry, such as autocompletion, code prediction, and debugging in technology and software. Chapter 3 Minor restructuring to improve logical flow and progressive understanding of LLM challenges and solutions. Chapter 4 A new section on prompt injection introduces this emerging security challenge, detailing its types, impact on reliability, with solutions such as guardrails and safeguards to protect LLM integrity. Chapter 5: RAG (Previously, Introduction to LangChain and LlamaIndex) Includes a step-by-step guide to building a basic Retrieval-Augmented Generation (RAG) pipeline from scratch, covering essentials like embeddings, cosine similarity, and vector stores. This foundation equips you to apply modern frameworks like LlamaIndex and LangChain more efficiently or go on your own with custom implementations and prepares you for their evolution better. Chapter 6: Introduction to LangChain & LlamaIndex (Previously Prompting with LangChain) Introduces foundational elements of LangChain as part of a complete system, providing a comprehensive understanding of how each component functions within a broader context. This structured overview acts as a roadmap, enabling a clearer grasp of RAG pipelines in the upcoming chapters. Chapter 7: Prompting with LangChain (Previously RAG) Includes LangChain Chains, previously part of the RAG chapter, for clarity. Chapter 8: Indexes, Retrievers, and Data preparation (New Chapter) Indexes, Retrievers, and Data Preparation are essential components of a RAG pipeline. While these concepts were introduced in the first edition, this updated edition includes a dedicated chapter that focuses on their foundational principles. This approach ensures that readers can effectively scale LLM applications, optimize performance, and enhance response quality. Additionally, by emphasizing the fundamentals, this edition allows readers to understand and implement RAG concepts independently, without relying exclusively on frameworks like LangChain. Chapter 9: Advanced RAG Only structural updates Chapter 10: Agents Only structural updates Chapter 11: Fine-tuning Only structural updates Chapter 12: Deployment and Optimization The updated version takes a deeper dive into essential techniques for LLM deployment and optimization, making it more practical and relevant for current AI development needs. For example, the book explores model distillation , a powerful technique to reduce inference costs and improve latency, with a detailed case study on Google\u2019s Gemma 2 , demonstrating its real-world impact. With open-source LLMs growing in popularity, this edition also covers the deployment of LLMs on various cloud platforms, including Together AI, Groq, Fireworks AI, and Replicate. This broader approach helps readers find cost-effective and scalable solutions for real-world applications. A Note on Library and Model Versioning LLMs are advancing rapidly, but the core skills and tools covered in this book\u2014like fine-tuning, prompt engineering, and retrieval-augmented generation\u2014 will remain essential for adapting next-generation models to specific data, workflows, and industries. These principles will stay relevant across models, even as some specific libraries evolve. For seamless code execution, we\u2019ve included a requirements file for library versions. If you\u2019re running notebooks on Google Colab, be aware that libraries like \u201cpytorch\u201d and \u201cTransformers\u201d are pre-installed. Should compatibility issues arise, try uninstalling these libraries in Colab and reinstalling the specified versions from the requirements file. Switching to newer LLMs is straightforward. For instance, with OpenAI models, you can update the model simply by changing its name in the code. We recommend using GPT-4o-mini over \u201cGPT-3.5 Turbo\u201d in the book examples. Regularly checking documentation for Langchain, LlamaIndex, and OpenAI is also encouraged to stay aligned with updates and best practices. This approach ensures your skills remain applicable in the dynamic LLM field. Introduction No Notebooks. Book Library Requirements Requirements Resources Python & Other Technical Notes: Our guide to starting in AI (Python, Math, and more resources. All free) Towards AI Open Source AI chatbot: AI Tutor Discord Community: Learn AI Together Coding Environment and Packages: Visual Studio Code Chapter I: Introduction to LLMs No Notebooks. Research Papers Attention Is All You Need (Section: Transformers) Training Compute-Optimal Large Language Models . (Section: Scaling Laws) Emergent Abilities of Large Language Models (Section: What are Emergent Abilities) Evaluation Benchmarks for Emergent Abilities : Massive Multi-task Language Understanding MMLU | Word in Context Optimization Techniques to Expand the Context Window: ALiBi Positional Encoding | Sparse Attention | FlashAttention | Multi-Query Attention (MQA) FlashAttention-2 LONGNET: Scaling Transformers to 1,000,000,000 Tokens . A Survey of Large Language Models (Section: A Timeline of the Most Popular LLMs) Evaluation Benchmarks for Emergent Abilities GitHub Repo : BIG-Bench suite | TruthfulQA | Chapter II: LLM Architectures & Landscape Notebook Understanding Transformer (Section: The Architecture in Action) Transformer Architecture (Section: Transformer Model\u2019s Design Choices) Resources & Additional Links Tutorial: Let\u2019s build GPT: from scratch, in code, spelled out Demo Environment: IDEFICS Playground GitHub Repo: minGPT \u2013 A PyTorch re-implementation of GPT, both training and inference Open AI Blog Post: InstructGPT LLM Leaderboard: Chatbot Arena LLaVA \u2013 An Instruction-tuned LMM: Vicuna Open Flamingo Beyond Vision and Language (Models): PandaGPT | ImageBind | SpeechGPT | NExT-GPT Proprietary and Open-Source LLMs: Cohere LLMs | Open AI GPT 3.5 | Anthropic\u2019s Claude Models | Google Deepmind\u2019s Gemini | Meta\u2019s Llama Models | Falcon | Dolly | Open Assistant | Mistral LLMs Research Paper: \u201cVision Transformers: An Image is Worth 16\u00d716 Words: Transformers for Image Recognition at Scale\u201d Research Paper: \u201cMultimodal Foundation Models: From Specialists to General-Purpose Assistants\u201d Research Paper: Flamingo: a Visual Language Model for Few-Shot Learning Chapter III: LLM Landscape No Notebooks. Research Papers: Evaluating LLM Performance (Benchmarks) The GLUE Benchmark The SuperGLUE Benchmark The BIG-Bench Benchmark The HELM Benchmark The FLASK Benchmark Chapter IV: Introduction to Prompting Notebook No Notebooks. Resources Prompting A Hands-on Guide to Prompt Engineering with ChatGPT and GPT-3 Prompt Engineering Tips and Tricks with GPT-3 Prompt Engineering LLMs with LangChain and W&B Chapter V: Retrieval-Augmented Generation Notebook Building a Basic RAG Pipeline from Scratch (Section: Building a Basic RAG Pipeline from Scratch) Resources Research Paper: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Blog: Retrieval Augmented Generation (RAG) Deep Lake Vector Store Chapter VI: Introduction to Langchain & LlamaIndex Notebook Building Application Powered by LLMs with LangChain (Section: Tutorial 1: Building LLM-Powered Applications with LangChain) Build a News Articles Summarizer (Section: Tutorial 2: Building a News Articles Summarizer) LlamaIndex Introduction (Section: LlamaIndex Introduction) Resources LangChain Documentation Useful LangChain Components: | Prompts | Output Parsers | Retrievers | Document Loaders | Text Splitters | Indexes | Embeddings models | Vector Stores | Agents | Chain | Tool | Memory | Callbacks Useful LangChain Agents: Zero-shot ReAct | Structured Input ReAct | OpenAI Functions Agent | Self-Ask with Search Agent | ReAct Document Store Agent | Plan-and-execute agents The output for the Building LLM-Powered Applications with LangChain section is based on The One Page Linux Manual: A summary of useful Linux commands Building applications with LLMs through composability A Complete Guide to LangChain: Building Powerful Applications with LLMs LlamaIndex Index Guide LlamaIndex: How to use Index correctly Defining a Custom Query Engine Working Example of Implementing Routers LlamaIndex documentation Financial Document Analysis with LlamaIndex LlamaIndex: Adding Personal Data to LLMs Llamahub Chapter VII: Prompting with LangChain Notebook Using Prompt Templates (Section: What are LangChain Prompt Templates) Getting the Best of Few Shot Prompts & Example Selectors (Section: Few Shot Prompts and Example Selectors) Chains and Why They Are Used Notebook (Section: What are LangChain Chains) Managing Outputs with Output Parsers (Section: Tutorial 1: Managing Outputs with Output Parsers) Improving Our News Articles Summarizer (Section: Tutorial 2: Improving Our News Articles Summarizer) Creating Knowledge Graphs from Textual Data Unveiling Hidden Connections (Section: Tutorial 3: Creating Knowledge Graphs from Textual Data: Finding Hidden Connections) Resources Building a Knowledge Base from Texts: a Full Practical Example GitHub: langchain Knowledge Graph Visualization: NetworkX library Knowledge Graph Visualization: Pyvis library Chapter VIII: Indexes, Retrievers, and Data Preparation Notebook What are Text Splitters and Why They are Useful (Section: Text Splitters) Create a YouTube Video Summarizer Using Whisper and LangChain (Section: Tutorial 2: A YouTube Video Summarizer Using Whisper and LangChain) Guarding Against Undesirable Outputs With the Self-Critique Chain (Section: Tutorial 4: Preventing Undesirable Outputs with the Self-Critique Chain) Guarding Against Undesirable Outputs With the Self-Critique Chain Example (Section: Tutorial 5: Preventing Undesirable Outputs from a Customer Service Chatbot) Book File Book File Requirements Sample PDF Used for Customizing Text Splitters Example: The One Page Linux Manual Tokens and APIs & Packages Ffmpeg Open AI API Keys Eleven API Keys Activeloop Token Resources Tutorial: How to install ffmpeg Documentation: Text wrapping and filling Code: idontcalculate/langchain GitHub Repo: JarvisBase LangChain Docs: Split by character | Split code | Recursively split by character | Summarization Open AI Whisper Acitveloop Docs: Deep Lake Vector Store in LangChain Documentation: Self-critique chain with constitutional AI Chapter IX: Advanced RAG Notebook Masterting Advanced RAG (Section: Using a Query Engine to Answer Queries) RAG Metrics & Evaluations (Section: RAG Metrics & Evaluation) LangSmith Introduction (Section: LangChain LangSmith and LangChain Hub) Resources Source Document for the Query Engine Example: Text Data for the example (Section: Query Engine Example) Tutorial: Building an Advanced Fusion Retriever from Scratch LangChain Docs: Query construction Cohere Reranking Tutorial: Hands-on Tutorial for Implementing Small-to-Big Retrieval Colab Notebook: Cohere Rerank Endpoint Blog: Complex Query Resolution through LlamaIndex Utilizing Recursive Retrieval, Document Agents, and Sub Question Query Decomposition Blog: Improving Retrieval Performance by Fine-tuning Cohere Reranker with LlamaIndex LlamaIndex Notebook LllamaIndex Docs (Section: The Role of the Retrieval Step): Retriever Query Engine with Custom Retrievers \u2013 Simple Hybrid Search | Metadata Filtering | Cohere Rerank | Document Summary Index LllamaIndex Docs (Section: RAG Metrics): Correctness | Faithfulness | Context Relevancy | Guideline Adherence | Embedding Semantic Similari | Finetuning Embeddings | Evaluating \u2013 LlamaIndex | Retrieval Evaluation | Golden Dataset | Response Evaluation | Recursive Retriever + Query Engine Demo | Query Engine | Chat Engine Creating the Dataset openai-cookbook RAGAS GitHub repository RagEvaluatorPack Downloading a LlamaDataset from LlamaHub LangSmith Hub-examples: LangSmith cookbook The Art of LangSmith LangServe Github Repository Chapter X: Agents Notebook Using AutoGPT with LangChain (Section: Using AutoGPT with LangChain) Using AutoGPT with LangChain Output (Section: Using AutoGPT with LangChain) Building Autonomous Agents to Create Analysis Reports (Section: Tutorial 1: Building Agents for Analysis Report Creation) Query and Summarize a DB with LlamaIndex (Section: Tutorial 2: Query and Summarize a DB with LlamaIndex) Building Agents with OpenAI Assistants (Section: Tutorial 3: Building Agents with OpenAI Assistants) Multimodal Finance + Deep Memory (Section: Tutorial 5: Multimodal Financial Document Analysis from PDFs) Dataset Dataset for the Multimodal Financial Document Analysis Example: Tesla Q3 Financial Report Preprocessed Text/Label for the Multimodal Financial Document Analysis Preprocessed Graphs for the Multimodal Financial Document Analysis Resources GitHub: Babyagi Inspired Projects GitHub: Agent Simulations GitHub: CAMEL Role-Playing Autonomous Cooperative Agents GitHub; LlamaHub LlamaIndex Docs: Data Agents | OpenAI Agent with Query Engine Tools | Multi-Document Agents Blog: OpenAI Assistants API: Walk-through and Coding a Research Assistant GitHub: HuggingFace Inference Community Colab Notebook: Assistants API OpenAI Docs: OpenAI Knowledge Retrieval Blog: Function Calling OpenAI GitHub: LangChain OpenGPTs Blog: Maximizing LangChain Efficiency: Agents and ReAct Method Review LangChain Docs: Defining Custom Tools Tutorial: Installing Poppler on Windows Tutorial: Installing Tesseract on Windows Website: AutoGPT Website: BabyAGI Research: On AutoGPT \u2013 LessWrong Website: CAMEL Research Paper: The CAMEL: Communicative Agents for \u201cMind\u201d Exploration of Large Language Model Society paper Research Paper: Generative Agents: Interactive Simulacra of Human Behavior Website: OpenGPTs Chapter XI: Fine-Tuning Notebook FineTuning a LLM Lima CPU (Section: Tutorial 1: SFT with LoRA) FineTuning a LLM Financial Sentiment CPU (Section: Tutorial 2: Using SFT and LoRA for Financial Sentiment) Create a Dataset For Cohere Fine-Tuning (Section: Tutorial 3: Fine-Tuning a Cohere LLM with Medical Data) Fine-Tuning Using Cohere for Medical Data (Section: Tutorial 3: Fine-Tuning a Cohere LLM with Medical Data) Finetuning a LLM QloRA (Section: Tutorial 4/Supervised Fine-Tuning Notebook) Finetuning a Reward Model (Section: Tutorial 4/Training a Reward Model Notebook) Finetune RLHF (Section: Tutorial 4/RLHF) Book Model Checkpoints, Requirements, Datasets, W&B Reports OPT fine-tuned LIMA checkpoint on CPU (Section: Practical Example: SFT with LoRA) OPT Fine-tuned finGPT with CPU (Section: Using SFT for Financial Sentiment) The Merged Model Checkpoint (2GB) (Section: Supervised Fine-Tuning Notebook) Requirements (Section: Supervised Fine-Tuning Notebook) The Reward Model Checkpoint (Step 1000 \u2013 2GB) (Section: Training a Reward Model Notebook) Requirements (Section: Training a Reward Model Notebook) The Merged RL Model Checkpoint (2GB) (Section: RLHF) Requirements (Section: RLHF) BC5CDR Dataset in JSON format (Section: Fine-Tuning a Cohere LLM with Medical Data) Preprocessed Dataset (Section: Fine-Tuning a Cohere LLM with Medical Data) Complete Dataset (Section: Supervised Fine-Tuning Notebook) OpenOrca Dataset (Section: Supervised Fine-Tuning Notebook & Section: RLHF) \u201chelpfulness/harmless\u201d: (hh) by Anthropic (Section: Training a Reward Model Notebook) OPT Fine-tuned LIMA CPU (Section: Practical Example: SFT with LoRA) Weights & Bias Report (Section: Supervised Fine-Tuning Notebook) Weights & Bias Report (Section: Training a Reward Model Notebook) Weights and Biases report (Section: RLHF) Resources Research Paper: Low-Rank Adaptation (LoRA) Research Paper: QLoRA: An Efficient Variant of LoRA Open-source Resources for LoRA: PEFT Library | Lit-GPT Cohere Docs: Fine-tuning an Embedding Model for Classification Research Paper: Reinforcement Learning from Human Feedback Research Paper: LIMA: Less Is More for Alignment Research Paper: Direct Preference Optimization (DPO) Research Paper: Google DeepMind\u2019s Reinforced Self-Training (ReST) Research Paper: Reinforcement Learning from AI Feedback (RLAIF) Chapter XII: Deployment Notebook Benchmark Inference (Section: Tutorial: Deploying a Quantized LLM on a CPU on Google Cloud Platform (GCP)) Resources Research Paper: Model Compression Research Paper: Distilling the Knowledge in a Neural Network Research Paper: A Survey of Quantization Methods for Efficient Neural Network Inference Research Paper: Sparsity in Deep Learning GitHub: Hugging Face Optimum GitHub: Intel Neural Compressor Research Paper: LLM.int8(): 8bit Matrix Multiplication for Transformers at Scale Research Paper: GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Research Paper: AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Research Paper: Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures Reasearch Paper: A Simple and Effective Pruning Approach for Large Language Models Reasearch Paper: Structured Pruning of Deep Convolutional Neural Networks Research Paper: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks A complete list of tasks supported with Simple Quantization (Using CLI) The Docker Image under Latitude: Llama 2 API Inference Conclusion No Notebooks. Further Reading and Courses Towards AI Open Source AI-Tutor HuggingFace: AI Tutor Chatbot Previous Courses Training & Fine-Tuning LLMs for Production LangChain & Vector Databases in Production Free Resources Towards AI Newsletter What\u2019s AI YouTube Channel Towards AI Academy Note: This webpage has been updated to follow the order and structure of the second edition. All resources from the first edition are still available but may have been rearranged to match the new sequence. Additionally, you\u2019ll find new links and resources exclusive to the second edition\u2014an added benefit for readers with the first edition. Comprehensive AI Engineering and AI for Work certifications Making AI accessible to 100K+ learners. Self-paced, practical courses to master building or using AI for real work. 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Follow Roberto: X , LinkedIn , GitHub , Google Scholar , Towards AI Profile , Medium , ML@CMU , FreeCodeCamp , Crunchbase , Bloomberg , Roberto Iriondo, Generative AI Lab , Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti , Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters , Job Title: Co-founder Works for: Towards AI, Inc. Louis-Fran\u00e7ois Bouchard , Job Title: Co-founder Works for: Towards AI, Inc. Cover: Logo: Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net Follow us on: Facebook X LinkedIn Instagram Youtube Github Google My Business Google Search Google News Google Maps Discord Shop Towards AI, Medium Editorial Medium Flipboard Publication Feed Sponsors Sponsors Contribute 5 stars \u2013 based on 497 reviews Frequently Used, Contextual References TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e Resources Free: 6-day Agentic AI Engineering Email Guide . Learnings from Towards AI's hands-on work with real clients. Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions. Towards AI helps you bring the latest AI capabilities into your organisation. AI hype is everywhere \u2013 but which capabilities are real and already here and which are still promises? How do you begin to understand which AI models and tools can be most impactful to your workflows, products, role, team and industry? How do you make sure employees are using these new AI tools or models appropriately, safely and effectively? How do you accelerate bringing the most relevant AI models and expertise into your business? There is a huge disparity between manager\u2019s growing appreciation of the need to adapt their workflows and products to AI relative to the actions being taken to manage the risks and to make the most of the opportunity. Answering all of the questions above requires a constantly evolving understanding of AI\u2019s current capabilities and limitations and hands on experience working with these models and tools. It also requires a parallel understanding of business and product to be able to match this AI knowledge with your potential business use cases. Towards AI\u2019s team is here to help. Towards AI\u2019s Products for Businesses: Customised corporate AI courses to up-skill both technical and non technical professionals. AI Essentials for Professionals: Understanding and Utilizing Generative AI in Your Sector. How to understand AI\u2019s impact on your business and learn how your team can make the most of the best new AI tools for your industry. From AI Beginner to an Advanced LLM MVP; The Tech stack of the future; LLMs+Prompting+RAG+Agents+Fine-Tuning. Gen AI conversion courses for python developers; Quickly empower your developers to begin building on the latest AI models. Python Primer for Generative AI; From Coding Novice to Building with LLMs. Our content can be tailored to your company and industry and can be a combination of written and video lessons, practical code examples, async Q&A with our instructors, live video conference and in-person teaching. Generative AI / Large Language Model project consulting . Help your team get started or accelerate building internal AI products or tools. Over 20 people on our team with 15 AI experts. Our expertise includes; AI Product opportunity and suitability analysis. Large Language Models. Query understanding and prompt engineering. Data collection and preparation. Retrieval-augmented generation. Fine-tuning. Agent workflows. Technical Writing. Support finding and recruiting AI talent . Analysis of the skillset required for your AI needs and support with job descriptions. Premium job post on our AI Jobs Board and Newsletter Inclusion. Hands on AI recruitment; We can work with you together with AI expert recruiters from our network. Towards AI\u2019s new book ; Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning and RAG Comprehensive 470 page book with great reviews from industry leaders. We serve customers in both English and French. If any of this could help your organization, please share these offers with your relevant colleagues or contact us at louis@towardsai.net to discuss any of these options! Why Towards AI Since 2019 Towards AI has educated hundreds of thousands of AI developers and many have since grown into senior roles in the industry. Our mission is to make AI more accessible \u2013 both to individuals and to corporate teams. We have a huge audience of AI developers with 400,000 followers, 120,000 subscribers to our weekly AI newsletter and 60,000 members in our \u201dLearn AI Together\u201d Discord Community . In 2023 we wrote the hugely successful GenAI360: Foundational Model Certification three course series (~30,000 students) on behalf of Intel and Activeloop. We have many more B2C and B2B AI courses in the pipeline for both technical and non technical audiences. Over 2,000 AI practitioners have written for our publication where we publish ~40 AI articles and tutorials each week. This contributes to an incredible talent pipeline for Towards AI; We hire the best talent from our writer and community networks and the best B2C course students to help write and instruct our AI books and courses and to code our practical projects. The best of these then work on our LLM consulting projects. We can also help with AI recruitment from within our network, our top students and via our AI jobs board . Our team can combine AI and software experience with business, product and strategy understanding including our Co-founder and CEO\u2019s past experience as Vice President in Investment Research at J.P. Morgan and subsequent work growing and advising startups. Our co-founder and CTO has prior experience as Head of AI and recently left his AI phd at MILA to focus on Towards AI. We currently have 15 AI experts on the team \u2013 operating globally but with a cluster in Montreal given our co-founder\u2019s MILA connection. Our Linkedin Newsletter Page and our GenAI:360 Course homepage. Customised AI Training for Your Business We have expertise throughout machine learning and data science \u2013 but given demand our focus is on Generative AI and Large Language Models. We offer both technical and non technical courses; from how to build upon the latest AI models to how to understand AI\u2019s impact on your business and learn how to make the most of the best tools for your industry. Our content can be tailored to your company and industry and can be a combination of written and video lessons, practical code examples, async Q&A with our instructors, live video conference and in-person teaching. Please reach out to louis@towardsai.net if you are interested. Course 1: From AI Beginner to an Advanced LLM MVP; The Tech stack of the future; LLMs+Prompting+RAG+Agents+Fine-Tuning Audience: Technical (python experience required) This course converts python developers from AI novice through to advanced and useful practical LLM skills. We teach the skills and tools that improve the accuracy and capability of LLMs and show how to adapt them to your industry use case and custom data. We think a large proportion of human tasks can be assisted in the near term with this tech stack, which provides a huge opportunity to build new internal tools or external products. In our course, you will not dwell on the theoretical details or build simple one-off projects with little practical utility \u2013 you will learn via practical tips and hands-on building of an advanced AI project. Where we stand out: AI courses generally focus on theoretical background or basic project examples. They don\u2019t teach you the real inside story of how you code, experiment and iterate upon an advanced AI app. We teach the full stack for AI and skip directly to building practical and real world products, from data collection and filtering, backend development, through to deployment and sharing of a MVP. Course 2: AI Essentials for Professionals: Understanding and Utilizing Generative AI in Your Sector Audience : Non-Technical This comprehensive course is designed for professionals who seek to understand the transformative power of Artificial Intelligence (AI) without spending time on the technical complexities. Your team will gain a clear understanding of what Machine Learning is and how Large Language Models (LLMs) function. We will explore the current AI landscape, highlighting its strengths, limitations, and future trajectory. Discover how AI is poised to revolutionize your industry by examining real-world case studies and practical applications. Learn about the latest AI tools and technologies that can enhance your team\u2019s efficiency and drive innovation in your sector. By the end of this course, your team will have the knowledge and skills to leverage AI tools effectively, enabling you to stay ahead in a rapidly evolving technological landscape. We will also explain technical LLM customisation options and where it could make sense to build a custom AI app, tool or product for your company. Course 3: Python Primer for Generative AI; From Coding Novice to Building with LLMs Audience : Non-Technical This course is tailored for individuals with little to no programming experience who you wish to upskill into the world of Generative AI and Large Language Model development using Python. Machine learning requires far less code than traditional software as most capabilities are self taught with training data; we cut to the chase of what is needed to build with LLMs. Leveraging cutting-edge AI tools and coding assistants, we simplify the coding process, enabling you to build powerful LLM applications with minimal theoretical software background. Your team will learn the essential Python programming skills required for LLMs and discover how to implement LLMs effectively. By focusing on practical, hands-on coding exercises, we ensure students grasp the core concepts quickly and can start building their own Generative AI solutions. This course cuts through the complexities of traditional software development, empowering individuals to create impactful AI applications with ease. Generative AI consulting for Businesses With over 20 people on our team and 15 AI practitioners, our expertise includes; Product suitability analysis (which parts of your business or product are best enhanced with the current AI models and tools) Large Language Models (how to choose, use, deploy and adapt both open source models and closed source APIs) Query understanding and prompt engineering Data collection, cleaning and preparation Embedding and retrieval-augmented generation Fine-tuning Agent workflows Technical Writing We have two product offers: Hands off Strategic Consulting : Our team will review your current products, workflows or existing generative AI pipelines and help you decide which can be enhanced with the latest AI capabilities. We will help you choose the best AI models and tools and provide advice, tips and feedback to help you get started. We can deliver: Written reports: A final written report with our key advice and guidance. On-Demand Guidance: Across email, slack and adhoc meetings. Network access: Connect you with relevant partners or specialists in our network. AI talent and hiring: Understand and analyse the skill sets needed to build your products, aid in job listing preparation and help find the right talent. Hands on Comprehensive Consulting : We can work directly hands on with your team to begin building your custom AI tool or AI product. We can deliver expertise, talent, existing code, practical advice and tips. Depending on availability we may partner with other great AI consulting teams in our network to deliver your project. Please reach out to louis@towardsai.net if you are interested. Towards AI jobs listings and recruitment The recent surge of commercialisation and investments in AI has propelled its growth across various sub-specialisations, skills, tools, and industries. Despite the increasing number of companies investing in AI talent and expanding their operations, matching the best talent to the right role remains challenging. Traditional job boards like Indeed or LinkedIn are not optimized to display relevant results for AI-specific job searches. To address this gap between talent and opportunities in AI, and to facilitate easier matching of skills, we have built the Towards AI job board. Our specialized job board focuses exclusively on AI jobs and has been tailored to process AI-specific skills, acronyms, and synonyms. Our algorithm scans through hundreds of thousands of jobs listed online from over 50,000 companies, presenting only those that meet our defined AI job criteria. We currently show 10,000 live AI jobs. Jobs Board Premium Listing and Newsletter Post (from $500): Visit here to list a premium job post on our jobs board (pinned to relevant searches for 30 days), customise your company profile and include the job in our newsletter for AI practitioners (120,000 subscribers). Hands on Recruitment: f you need more hands on help finding talent, narrowing down candidates or hiring for an AI role \u2013 we can work with you together with AI expert recruiters from our network \u2013 please reach out to louis@towardsai.net . Towards AI\u2019s new AI jobs board homepage Towards AI\u2019s new book: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning and RAG Focused on practical solutions for real-world challenges, our book covers everything from the basics of LLM concepts to advanced techniques. It\u2019s perfect for building reliable, scalable AI applications. With amazing reviews from industry leaders, this 470 page resource dives deep into enhancing LLM abilities with Prompting, Fine-Tuning, and RAG and includes hands-on projects, Colab notebooks, and exclusive community access. Our expert team at Towards AI, along with curated contributions from leaders at Activeloop, Llamaindex, Mila, and more, have tailored this guide for those with intermediate Python knowledge. However, concept explanations are accessible to anyone. Towards AI\u2019s new book ! Recent Review from Industry Leaders \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment \u2013 all essential topics in an AI Engineer\u2019s toolkit.\u201d Jerry Liu, Co-founder and CEO of LlamaIndex \u201cAn indispensable guide for anyone venturing into the world of large language models. This book masterfully demystifies complex concepts, making them accessible and actionable. Covering everything from theory to practical deployment, it\u2019s a must-have in the library of every aspiring and seasoned AI professional.\u201d Shashank Kalanithi, Data Engineer at Meta \u201cThis book covers everything you need to know to start applying LLMs in a pragmatic way \u2013 it balances the right amount of theory and applied knowledge, providing intuitions, use-cases and code snippets. It covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.\u201d Jeremy Pinto, Senior Applied Research Scientist at Mila \u201cA truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what\u2019s coming. Highly recommend.\u201d Pete Huang, Co-founder of The Neuron \u201cIf you desire to embark on a journey to use Large Language Models in production systems but are worried you might not have the adequate background, worry not! This book will guide you through the evolution of these models from simple Transformers to more advanced RAG-assisted LLMs capable of producing verifiable responses. The book is accessible, with multiple tutorials that you can readily copy, paste and run on your local machine to showcase the magic of modern AI.\u201d Rafid Al-Humaimidi, Senior Software Engineer at Amazon Web Services (AWS) \u201cAs someone obsessed with proper terminology in Prompt Engineering and Generative AI, I am impressed by the robustness of this book. Towards AI has done a great job assembling all of the technical resources needed by a modern GenAI applied practitioner.\u201d Sander Schulhoff, Founder and CEO of Learn Prompting Comprehensive AI Engineering and AI for Work certifications Making AI accessible to 100K+ learners. Self-paced, practical courses to master building or using AI for real work. 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Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: pub@towardsai.net 228 Park Avenue South New York , NY 10003 United States Website: https://towardsai.net/ Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo , Website , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X , LinkedIn , GitHub , Google Scholar , Towards AI Profile , Medium , ML@CMU , FreeCodeCamp , Crunchbase , Bloomberg , Roberto Iriondo, Generative AI Lab , Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti , Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters , Job Title: Co-founder Works for: Towards AI, Inc. Louis-Fran\u00e7ois Bouchard , Job Title: Co-founder Works for: Towards AI, Inc. Cover: Logo: Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net Follow us on: Facebook X LinkedIn Instagram Youtube Github Google My Business Google Search Google News Google Maps Discord Shop Towards AI, Medium Editorial Medium Flipboard Publication Feed Sponsors Sponsors Contribute 5 stars \u2013 based on 497 reviews Frequently Used, Contextual References TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e Resources Free: 6-day Agentic AI Engineering Email Guide . Learnings from Towards AI's hands-on work with real clients. Transform Your Team into \u201cAI-First\u201d Employees: GenAI Acceleration Programs, Live AI Bootcamps, LLM Development Consulting Towards AI\u2019s team are all AI experts and AI power users with 3+ years deeply experimenting with the latest LLM capabilities for both software and professional tasks. We\u2019ve taught 500k+ people AI since 2019 (including 50k via our Intel/Activeloop course), partnered with leaders, and built many complex LLM pipelines (finance research agents, data processing automation, advanced chatbots and more) for internal use and external clients. Led by Co-founders with JP Morgan/AI Startup + MILA/AI PhD backgrounds and backed by 15 LLM experts. We help enterprise teams accelerate AI adoption and become \u201cAI-First\u201d; both by using AI tools effectively and by building internal AI tools. We currently offer: Please email Louis-Fran\u00e7ois Bouchard [louis@towardsai.net] now for more information or to organise an \u201cAI First\u201d Adoption Consultation call. Email Us AI Isn\u2019t Just for Tech Companies. It\u2019s a Leadership Imperative Adopting an \u201cAI-First\u201d mindset is now an existential competitive challenge at all companies. In a Dataiku study , 74% of CEOs said they could lose their jobs within two years without meaningful AI results. At the same time, 94% suspect employees are already using AI without approval, signalling risk, fragmentation, and lost opportunity. From financial analysis to sales, customer service, and decision-making, AI used well adds significant value for many tasks \u2013 while AI tools use poorly or unofficially add significant risk. That\u2019s exactly why our clients trust us. Our custom developments, deep practical courses and books on LLMs are used around the world by engineers and executives alike to bridge the gap between hype and value. Here\u2019s what industry leaders are saying about us: \u201cThis is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications.\u201d \u2014 Jerry Liu, Co-founder and CEO of LlamaIndex If you see the need for a more strategic approach to AI in your workplace, connect Towards AI with your manager or leadership team. We can provide a detailed overview and tailor a solution. Referral Bonus: As a thank you, we offer custom affiliate commissions for introductions leading to bulk purchases of our AI Acceleration Program courses. Ready to bridge the AI adoption gap? Please email Louis-Fran\u00e7ois Bouchard [louis@towardsai.net] now for more information or to organise an \u201cAI First\u201d Adoption Consultation call. Email Us Otherwise, please read on if you prefer to first learn more about how we think about the broader Enterprise AI Adoption challenge and how we address it. Identify Your AI Adoption Problems: Current Bottlenecks, Timelines, Readiness Most enterprise teams find themselves at Stage 1 in the above chart; mostly disorganised, unauthorised AI adoption delivering neutral to negative value. Towards AI\u2019s offers are focused on taking your team onto Stage 2 (using AI tools safely and effectively and becoming AI power users) or to Stage 3 (in-house custom LLM workflow and product development). AI adoption at enterprise is lagging far behind AI\u2019s latest capabilities and benefits vary wildly between individuals. Some AI power users are achieving genuine double or triple digit productivity gains together with improved work quality via AI assistance, but much more often AI users achieve minimal speed gains while introducing new business risks and reducing the quality of their work output. We would guess fewer than 1 million people globally are truly using AI to its full potential at work. Many organizations are facing significant new risks from lagging, unsafe or ineffective AI adoption and haven\u2019t yet cultivated true \u201cAI power users.\u201d Companies also risk falling behind faster moving competitors and startups. In a recent Dataiku survey 74% of 500 CEOs even acknowledged they could be out of a job in two years if they fail to deliver meaningful AI-driven gains. To address this several companies such as Shopify and Duolingo have announced top down \u201cAI first\u201d initiatives including that \u201cUsing AI effectively is now a fundamental expectation of everyone at Shopify\u201d . Successful AI adoption is deceptively complex. Superficial results emerge quickly but it is not enough to simply open ChatGPT, type a question and copy and answer, or to download Cursor and start coding. AI has clear flaws and holes in its capabilities; many of these gaps can be filled with the user\u2019s human expertise, guided instructions, and adopting best practices, others are filled by developing LLM customizations for your task while the remainder still require learning to check, edit and iterate on an AI\u2019s outputs effectively. Motivating employees to use AI well is also a challenge; many are naturally resistant due to fears of replacement by AI or skepticism after failure to get instant results during quick testing of older models in free tier ChatGPT. To become comfortable with the transition people need to first see for themselves the night and day difference between using the best AI models well relative to using sub par models poorly on their own day to day tasks. It is also important to communicate the vital integration of each user\u2019s own talent and expertise into all AI assisted tasks and workflows; AI cannot replace people \u2013 it just makes their work easier and better. Using and developing AI safely and effectively requires employee buy in together with a guided understanding of different AI\u2019s capabilities, clear demonstrations of relatable value add use cases, hands on experience, multiple stages of iteration and developing a deep intuition for how to merge existing human expertise with AI\u2019s strengths and weaknesses. This AI adoption generally works best in a two stage process and we can help with all of it! Level 1: Everyday Use - Enhancing Professional Productivity Description: This foundational level involves employees using readily available LLM tools (like ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity or internal AI tools) to augment their daily tasks \u2013 including research, drafting emails and reports, brainstorming ideas, summarizing documents, learning new concepts, and performing data analysis. Maturity & Adoption Landscape: While experimentation is widespread, effective adoption creating true \u201cAI power users\u201d is rare. Most usage is inefficient, often employing the wrong models, tools, or prompting techniques for specific tasks, leading to subpar results. Critically, usage is frequently insecure, bypassing necessary company controls and potentially exposing sensitive data. The Human Element: Becoming an AI power user isn\u2019t just about knowing niche prompt engineering techniques; it\u2019s about becoming a skilled collaborator. This requires actively bringing your unique human strengths: Domain Expertise: Infusing prompts with your industry knowledge, specific context, and nuanced understanding. Clear Instruction: Crafting precise instructions, providing clarifying examples, setting necessary constraints, and defining the desired output format or persona. Resourcefulness: Identifying high-quality, relevant information or data sources to provide to the AI, enhancing its accuracy and relevance. Critical Judgment: Rigorously evaluating AI outputs for factual accuracy, logical consistency, potential bias, and overall relevance; knowing when the AI\u2019s output is unreliable or requires significant correction. Iterative Feedback: Skillfully guiding the AI through cycles of refinement, providing constructive feedback to steer it towards better results. AI is a powerful tool, but it lacks human intuition, common sense, and deep contextual understanding \u2013 your active input is essential to bridge this gap. Timeframe & Effort for Results: Basic interaction is instant. However, progressing from casual use to achieving reliable, significant productivity gains requires developing these collaborative skills through structured learning and consistent practice over weeks and months. Key Techniques & Tools: Core LLM Tools (Secure Usage Recommended): ChatGPT (Plus/Team/Enterprise), Claude (Pro/Team), Google Gemini Advanced, Microsoft Copilot (Enterprise-integrated versions), Perplexity (for AI-powered search and research), Custom Internal AI Tools. Essential Skills: Effective Prompt Engineering (Zero-shot, Few-shot, Chain-of-Thought, specifying persona/format/tone), Context Provisioning (providing relevant text/data within prompts), Iterative Refinement techniques, Critical Output Evaluation & Fact-Checking, Understanding Model Strengths/Weaknesses (e.g., creativity vs. factual recall), Secure Usage Practices (using enterprise accounts, data anonymization awareness), Strategic Tool Selection (matching the right AI model and tool to the specific task). Common Pitfalls & Challenges: Security & Privacy Risks: Using free consumer tools with confidential company, customer, or personal data. Lack of Imagination: It is hard to know where to get started with bringing AI into daily tasks and where it can add value. Inaccuracy & Hallucinations: Blindly trusting AI outputs without verification, leading to factual errors, nonsensical statements, and poor decisions. Inefficiency & Wasted Time: Poor prompting yields generic, unhelpful responses; using the wrong tool for the task. Lack of Strategic Application: Using AI sporadically or for low-value tasks instead of integrating it thoughtfully into high-impact workflows. Output Inconsistency: Getting different or conflicting answers from the same or different models over time. Failing to integrate human judgment effectively. How Towards AI Helps: We focus heavily on teaching this collaborative approach: how to use AI tools safely, effectively, and strategically in real workflows. Through our (Business Professionals Track) and Custom Live Bootcamps , we train teams to match the right models to the right tasks, apply proven prompting techniques, integrate domain expertise, critically evaluate outputs, and build high-impact daily AI workflows. The result: faster decisions, sharper execution, and real productivity gains. Level 2: Accelerating Software Development with AI Tools Description: This foundational level involves employees using readily available LLM tools (like ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity or internal AI tools) to augment their daily tasks \u2013 including research, drafting emails and reports, brainstorming ideas, summarizing documents, learning new concepts, and performing data analysis. Maturity & Adoption Landscape: While experimentation is widespread, effective adoption creating true \u201cAI power users\u201d is rare. Most usage is inefficient, often employing the wrong models, tools, or prompting techniques for specific tasks, leading to subpar results. Critically, usage is frequently insecure, bypassing necessary company controls and potentially exposing sensitive data. The Human Element: Becoming an AI power user isn\u2019t just about knowing niche prompt engineering techniques; it\u2019s about becoming a skilled collaborator. This requires actively bringing your unique human strengths: Domain Expertise: Infusing prompts with your industry knowledge, specific context, and nuanced understanding. Clear Instruction: Crafting precise instructions, providing clarifying examples, setting necessary constraints, and defining the desired output format or persona. Resourcefulness: Identifying high-quality, relevant information or data sources to provide to the AI, enhancing its accuracy and relevance. Critical Judgment: Rigorously evaluating AI outputs for factual accuracy, logical consistency, potential bias, and overall relevance; knowing when the AI\u2019s output is unreliable or requires significant correction. Iterative Feedback: Skillfully guiding the AI through cycles of refinement, providing constructive feedback to steer it towards better results. AI is a powerful tool, but it lacks human intuition, common sense, and deep contextual understanding \u2013 your active input is essential to bridge this gap. Timeframe & Effort for Results: Basic interaction is instant. However, progressing from casual use to achieving reliable, significant productivity gains requires developing these collaborative skills through structured learning and consistent practice over weeks and months. Key Techniques & Tools: Core LLM Tools (Secure Usage Recommended): ChatGPT (Plus/Team/Enterprise), Claude (Pro/Team), Google Gemini Advanced, Microsoft Copilot (Enterprise-integrated versions), Perplexity (for AI-powered search and research), Custom Internal AI Tools. Essential Skills: Effective Prompt Engineering (Zero-shot, Few-shot, Chain-of-Thought, specifying persona/format/tone), Context Provisioning (providing relevant text/data within prompts), Iterative Refinement techniques, Critical Output Evaluation & Fact-Checking, Understanding Model Strengths/Weaknesses (e.g., creativity vs. factual recall), Secure Usage Practices (using enterprise accounts, data anonymization awareness), Strategic Tool Selection (matching the right AI model and tool to the specific task). Common Pitfalls & Challenges: Security & Privacy Risks: Using free consumer tools with confidential company, customer, or personal data. Lack of Imagination: It is hard to know where to get started with bringing AI into daily tasks and where it can add value. Inaccuracy & Hallucinations: Blindly trusting AI outputs without verification, leading to factual errors, nonsensical statements, and poor decisions. Inefficiency & Wasted Time: Poor prompting yields generic, unhelpful responses; using the wrong tool for the task. Lack of Strategic Application: Using AI sporadically or for low-value tasks instead of integrating it thoughtfully into high-impact workflows. Output Inconsistency: Getting different or conflicting answers from the same or different models over time. Failing to integrate human judgment effectively. How Towards AI Helps: Our AI Acceleration Program (Business Professionals Track) and Custom Live Bootcamps focus heavily on teaching this collaborative approach \u2013 how to leverage human expertise alongside AI tools safely, effectively, and strategically. Description: Utilizing AI-powered tools (like GitHub Copilot, Cursor IDE, ChatGPT, Gemini) specifically designed to assist developers throughout the software development lifecycle \u2013 including code generation, completion, debugging, testing, documentation, and refactoring. Maturity & Adoption Landscape: This is one of the more mature areas for AI application, with tools like GitHub Copilot seeing significant uptake for basic code completion. However, deep integration across the entire SDLC varies greatly. Top developers are increasingly using AI as a true pair programmer, but many others only scratch the surface. The potential for productivity gains is immense but often unrealized. The Human Element: Maximum productivity gains come from partnership, not blind delegation. Developers are essential collaborators, bringing their: Architectural Understanding: Guiding AI code generation to fit within the broader system design, existing patterns, and constraints. Coding Expertise & Standards: Writing effective prompts that specify languages, frameworks, desired logic, edge cases, and adhering to team coding standards. Critically reviewing AI suggestions for correctness, efficiency, maintainability, and security vulnerabilities. Debugging Skills: Applying systematic human problem-solving to troubleshoot complex issues, potentially using AI to generate hypotheses or explain code sections. Testing Intuition & Strategy: Using AI to rapidly generate test cases but applying human judgment to ensure comprehensive coverage, meaningful assertions, and testing of critical edge cases. Timeframe & Effort for Results: Basic code completion offers immediate, though sometimes minor, time savings. Achieving substantial productivity improvements requires developers to consciously adapt their workflows, master prompting for code, learn to critically evaluate suggestions quickly, and potentially adopt AI-native tools, typically taking consistent effort over several months. Key Techniques & Tools: Code Assistance Tools: GitHub Copilot Chatbots for Code: Using models like GPT-4o, Claude 3.5, Gemini via prompts for specific code generation, explanation, refactoring, or bug fixing tasks. AI-Native IDEs: Cursor IDE (integrating AI deeply into the development environment). Essential Skills: Prompting for Code Generation (specifying requirements clearly), Critically Reviewing AI Code Suggestions (identifying errors, inefficiencies, security flaws), AI-Assisted Debugging techniques, Using AI for Unit Test Generation & Boilerplate Code, Leveraging AI for Code Documentation & Explanation, Integrating AI feedback into code reviews, Potential use in CI/CD for automated checks or summaries, Awareness of AI-specific Security Scanning tools. Common Pitfalls & Challenges: Code Quality & Security Issues: AI generating functional but buggy, inefficient, non-idiomatic, or insecure code. Over-reliance & Skill Degradation: Developers becoming less proficient in fundamental algorithms or language details. Integration Friction: Difficulty merging AI-generated code smoothly with existing, complex codebases. Debugging Opaque Code: Understanding and debugging intricate AI-generated logic can sometimes be challenging. Licensing & Intellectual Property Concerns: Uncertainty regarding the origins and permissible use of AI-generated code snippets. Lack of Project Context: AI tools often lacking the full context of the project, leading to locally correct but globally suboptimal suggestions. Treating AI as an infallible oracle rather than a powerful, but fallible, assistant. How Towards AI Helps: We train developers to use AI without breaking your codebase or security model. Our Advanced LLM Developer Program and Bootcamps cover everything: how to prompt for high-quality code, integrate AI tools into real workflows, review outputs for bugs and vulnerabilities, and stay compliant with IP policies. This isn\u2019t about code completion tricks\u2014it\u2019s about speeding up delivery while protecting quality. We make sure AI actually fits your engineering standards and delivers real ROI. Level 3: Building Custom LLM Agents & Workflows as Internal Tools or External Products Description: Moving beyond off-the-shelf solutions to design, build, and deploy custom applications powered by LLMs . This includes: Internal Tools & Agents: Tailored precisely to specific internal business processes, proprietary data, and unique workflow needs (e.g., internal knowledge base Q&A bots, automated summarization of internal reports, agents analyzing internal data patterns, intelligent routing for support tickets, extracting info from internal documents). The goal is typically significant internal efficiency, improved work quality, or leveraging unique knowledge securely. External-Facing Product Features: Integrating sophisticated, custom LLM-powered features directly into customer-facing products or services to create novel value propositions, enhance user experience significantly, or enable entirely new functionalities (e.g., AI writing assistants, hyper-personalized recommendations, advanced customer self-service interfaces, creative content generation tools). The goal shifts towards market differentiation and direct user value. Maturity & Adoption Landscape: Building custom internal tools shows rapidly growing interest and significant potential for operational gains, but actual deployment maturity is often lower than basic AI usage, with many companies in exploratory or pilot stages. This is where unique internal advantages can be built. Integrating features into external products represents the current frontier , led by tech leaders and startups; success here can be transformative, defining new product categories (e.g., Perplexity AI, Anysphere/Cursor). The Human Element: Building effective custom LLM solutions is a deeply collaborative process demanding human expertise throughout: Subject Matter Expertise: Crucial for both internal (end-users defining needs, validating outputs) and external (product managers defining value, understanding user needs) applications. Identifying and preparing the right data sources (internal documents, user data) is key. Developer & Engineering Expertise: Essential human skills in robust system design, data engineering pipelines (cleaning, transforming, embedding data), selecting appropriate models/frameworks, designing effective evaluation strategies, and reliable deployment are required for both. Experienced judgment is vital for choosing the right technical approach (e.g., advanced RAG vs. fine-tuning). Iterative Feedback Loops: Critical for internal tools (feedback from employee users) and even more complex for external products (requiring mechanisms for capturing feedback from a diverse, uncontrolled user base). Controlled vs. Uncontrolled Usage & Governance: A key distinction emerges here. Internal: Advantage lies in implementing company policies, mandatory training, and clear usage guidelines, often enforcing human-in-the-loop verification for critical decisions, thus managing reliability within a known user base. External: Faces diverse, unpredictable user interactions. You cannot easily enforce workflows or guarantee users understand limitations. This necessitates a significantly higher baseline of intrinsic reliability and safety built directly into the AI system. Development requires broader, deeper expertise spanning product management, UX design (for intuitive AI interaction), data science (for alignment), legal (compliance, IP), and ethics (bias, fairness, responsible AI). Timeframe & Effort for Results: While a basic internal demo might be built quickly, creating a robust, reliable, value-enhancing internal tool often requires ~300 hours or more of focused development (including requirements, data prep, evaluation, iteration). Building a polished, reliable, scalable, safe, and differentiated external-facing LLM feature demands substantially more effort, typically ~600 hours or more for initial results, often scaling into large, ongoing R&D initiatives due to the stringent requirements for intrinsic reliability, safety, user experience, and performance at scale. Key Techniques & Tools: Both rely on foundational tools and techniques: Foundation Models: APIs (OpenAI, Anthropic, Google) or Open-Source Models (Llama, Mistral, etc.). LLM Application Frameworks: LangChain, LlamaIndex, etc. Vector Databases: Pinecone, Weaviate, Chroma, Qdrant, Deep Lake, etc. for RAG. Core Development Techniques: Retrieval-Augmented Generation (RAG \u2013 including advanced strategies), Prompt Engineering (complex prompts, chaining), Fine-tuning (where appropriate), Agentic Frameworks (designing tool-using agents), Robust Evaluation Methodologies, Data Preparation & Cleaning, Backend/API integration. However, building external products places greater emphasis on and often requires: Advanced System Architectures: More complex RAG, sophisticated/hierarchical agentic systems. Model Alignment & Safety: Robust safety guardrails, content moderation, bias reduction techniques (potentially including RLHF/DPO requiring human preference data). Scalability & Performance Optimization: Highly optimized inference, low-latency APIs, robust cloud infrastructure. User Experience (UX) Design for AI: Crafting intuitive interfaces, managing expectations, designing feedback mechanisms specifically for AI interaction. Rigorous Evaluation & Monitoring: Extensive A/B testing, real-world user feedback loops, continuous monitoring for performance, drift, safety, and satisfaction. Multi-modality: Increasingly integrating image, audio, or video capabilities. Ethical & Legal Frameworks: Deep integration of responsible AI, compliance (GDPR, CCPA), IP management. Common Pitfalls & Challenges: Both internal and external projects risk: Poorly Defined Use Case/ROI. Data Challenges (quality, availability, prep effort). Choosing the Wrong Technical Approach (over/under-engineering). Weak or Missing Evaluation leading to unreliable outputs. Scalability & Maintenance Hurdles. Security Risks (especially with sensitive data). Low User Adoption (if not intuitive, trustworthy, or useful). Unmanaged Costs (API or infrastructure). Insufficient SME/End-User Involvement. External products face these challenges with heightened sensitivity AND add significant additional risks: Reliability & Consistency at Scale: Ensuring predictable performance for large, diverse user bases. Safety, Misuse & Adversarial Attacks: Preventing harmful outputs and building resilience against bad actors is critical due to public exposure. Poor or Confusing User Experience: Frustrating AI interactions directly impact product success. High Operational Costs at Scale: Inference costs can become substantial. Achieving True Differentiation: Building unique value beyond easily replicated features. Latency Issues: Slow responses kill user engagement. Navigating Regulatory Uncertainty: Compliance with evolving AI laws globally. Significant Brand & Reputational Risk: Public failures or ethical issues cause severe damage because user interaction is uncontrolled and visible. Long-term Maintainability & Adaptability: Keeping complex systems performing as models and expectations evolve. How Towards AI Helps: Our Expert Consulting & Development offerings (Strategic Advisory and Hands-On Sprints) are designed for both contexts: For Internal Tools , we leverage our practical experience building and deploying robust LLM pipelines collaboratively with client SMEs. We help define strategy, choo" + }, + { + "url": "https://www.amazon.com/s?k=Towards+AI+Building+LLMs+for+Production", + "host": "www.amazon.com", + "path": "/s", + "kind": "book_external", + "title": "Towards AI book on Amazon", + "meta_description": "", + "headings": [], + "links": [ + { + "text": "Amazon book search", + "url": "https://www.amazon.com/s?k=Towards+AI+Building+LLMs+for+Production" + } + ], + "structured": {}, + "text": "Towards AI book on Amazon. Refer users to the book page and Amazon search/product pages when they ask where to buy the book." + }, + { + "url": "https://www.youtube.com/channel/UCQNjFuhOJM1YqFTPY1Q_kYQ", + "host": "www.youtube.com", + "path": "/channel/UCQNjFuhOJM1YqFTPY1Q_kYQ", + "kind": "free_content_external", + "title": "What's AI YouTube channel", + "meta_description": "", + "headings": [], + "links": [ + { + "text": "What's AI on YouTube", + "url": "https://www.youtube.com/channel/UCQNjFuhOJM1YqFTPY1Q_kYQ" + } + ], + "structured": {}, + "text": "What's AI YouTube channel by Louis Bouchard/Towards AI. Recommend it for free AI videos and beginner-friendly learning before buying a course." + } + ] +} \ No newline at end of file